The presented study included various types of subsurface data, covering different scales and different qualities which are shortly addressed in the following.
Literature and map data. For regional correlation, the geological atlas of Brandenburg (Stackebrand and Manhenke, 2010), providing different thickness and depth maps of units of the Mesozoic and Cenozoic was helpful. In parts, former synopsis representations of legacy exploration data could be used (e.g., Lange et al., 1981; Doornenbal & Stevenson, 2010).
Borehole data. Mainly due to the efforts of the hydrocarbon exploration in the time period of 1960–1990, several deep drillings provide valuable underground information and are available for cross-correlation (Hoth et al., 1993). In the Groß Schönebeck area, the E GrSk 2/68 borehole, the E GrSk 3/90 borehole, which was deepened in 2001 as a geothermal well, and the Gt GrSk 4/05 geothermal well provide unique access to underground data (Fig. 1, Table 1). Of special interest are the geophysical logging data, still available cores (E GrSk 3/90), the respective drilling reports, and petrophysical studies (e.g., Trautwein, 2005; Trautwein and Huenges, 2005; Blöcher et al., 2016) for correlation and petrophysical interpretation and parameterization of the model. The former studies for Groß Schönebeck focused on the Permo-Carboniferous reservoir targets and disregard most of the available post-Rotliegend drilling and borehole data.
By using the well data it became soon obvious, that the data of the E GrSk 3/90 borehole and especially of the Gt GrSk 4/05 borehole need to be reinterpreted based on a consistent depth reference log covering the complete drilled sequence. This enabled a consistent interpretation of the drilled lithological and stratigraphical units for the two close-by boreholes. In the E GrSk 3/90, an electrical image log was measured in the Rotliegend reservoir section. This was used for an analysis of depositional structures (Holl et al., 2005). Based on the work of Holl et al. (2005), an analysis of the sedimentary dip azimuths using the azimuth-vector plot method (after Rider, 2000) was applied. Here, dip azimuth values are plotted sequentially in their true orientation but without any depth scale. Dip azimuth changes due to different sedimentary regimes will result in different line orientation. For petrophysical interpretation, gas-derived laboratory permeabilities were corrected using the approach of Juhasz (1986), and permeability was additionally calculated using available log data based on the approach of Coates et al. (1991):
$$k=a\bullet {\varPhi }^{b}\bullet {\left(\frac{F}{B}\right)}^{c}$$
1
where k is permeability, Φ is total porosity, B is bound fluid volume (calculated as the product of the volume of clay, VCl, and the clay total porosity, ΦCl), F represents the free fluid volume (F = Φ – B), and a, b, c are empirically derived constants. The Coates equation is fitted to laboratory data by adjusting the constants a, b, and c.
Seismic data. The main input for the structural geological model represents the newly acquired 3D seismic of Groß Schönebeck. For main acquisition and processing parameters of this survey see Krawczyk et al. (2019). For well-tie integration, data from a vertical seismic profile conducted in the E GrSk 3/90 and Gt GrSk 4/05 boreholes with a distributed acoustic sensing system (Henninges et al., 2021) provided important input. The study of Bauer et al. (2020) to decipher a seismic facies classification on the Rotliegend sandstone reservoir was used to enhance the structural modelling and petrophysical property simulation for the EBS. In addition, former legacy 2D seismic surveys in the study area of the 3D seismic were available in a digital format or as georeferenced scanned images.
Hydraulic data. The Permian Rotliegend Elbebasissandstein and the succession of the drilled volcanic rocks were stimulated hydraulically in Groß Schönebeck. Respective data (Blöcher et al., 2016) provide information on the in-situ hydraulic and mechanical behaviour and the stress regime of the Permian reservoir zones. During stimulation, passive seismic sensing was applied. The recorded microseismic events (Kwiatek et al., 2010) and their in-depth interpretation (Blöcher et al., 2018) provide further information on the reservoir setting and model parameterization.
Table 1
Data used for the new geological model of Groß Schönebeck. For location of boreholes see Fig. 1. Abbreviations of different processed seismic volumes: PoSTM – post-stack time migration, NMO – normal move out, PreSDM – pre-stack depth migration, DeMultiple – suppression of seismic multiples.
Kind of data | Name(s) | References |
Boreholes – stratigraphy and main lithology | E Ob 1/68, E GrSk 2/67, E GrSk 3/90, Gt GrSk 4/05 | Hoth et al., 1993; Holl et al., 2005 |
Boreholes – petrophysical rock analysis (cores) | E GrSk 3/90 | Blöcher et al., 2016; Trautwein, 2005 |
Boreholes – geophysical well logging | E GrSk 3/90, Gt GrSk 4/05 | Huenges & Hurter, 2002 |
2D seismic of Finowfurt and Eberswalde campaign | FIW LEW | unpublished data |
3D seismic of Groß Schönebeck | PoSTM, NMO Stack, CRS-Stack, CRS-PoSTM, PreSDM-DeMultiple (in time and depth domain) | Krawczyk et al., 2019, this paper. |
The available types of underground data were interpreted using the commercial interpretation software Petrel 2016, which was also partly used for seismic analysis, seismic-well tie, horizon interpretation, model building, facies simulation, and petrophysical modelling. Seismic attribute analysis and visualization techniques were performed in time and depth-domain volumes using the Petrel 2016 software package.
Summary of operational site development at Groß-Schönebeck
The research platform Groß Schönebeck is located 40 km north of Berlin and was established over the last two decades. The target horizons for geothermal utilization were Permian and Permo-Carboniferous rocks, hosting in-situ temperatures of about 150°C. The site development started with the re-opening of a non-successful 4.2-km-deep hydrocarbon exploration well in 2001 (the E GrSk 3/90 well, which was drilled in 1990) and was followed by initial hydraulic tests and the drilling of a new geothermal research well (the Gt GrSk 4/05 borehole, completed in 2006 as production well). Hydraulic stimulations were performed to increase the fluid inflow to the Gt GrSk 4/05 borehole. Further tests including the installation and operation of a geothermal loop followed. The pumping of the high-saline reservoir fluids successively depicted obstacles which hindered a lasting operation of the geothermal loop and thus the commissioning of a heat conversion plant (see summary in Blöcher et al., 2016).
So far, the geothermal exploitation concept relied on a matrix-dominated approach, and sparsely distributed 2D seismic profiles (acquired from 1971 and 1999) were used to set up a first 3D geological model of the Groß Schönebeck area, formimg the base of the first exploitation concept and the well design of the Gt GrSk 4/05 borehole (Moeck et al., 2009). To conclude, the experiences made with this concept were not successful. As an alternative, a concept based on an engineered fracture-dominated exploitation approach for establishing a continuous and sustainable geothermal loop came into discussion. In order to exclude any structural obstacles, a 3D seismic exploration campaign was performed to shed light into the detailed structural setting of the site. Thereby, Krawczyk et al. (2019) identified the first time determinants for further field development at the site: formerly hypothesized crustal-scale faults, indications for free gas, seismic compartmentalization in the sub-salinar, and a fracture-dominated Rotliegend reservoir were all not proven. Rather, the seismic facies diversity of the reservoir target units (Bauer et al., 2020) leads to the interpretation of a system of thicker paleo-channels deposited within a deepened landscape.
These findings may influence the geothermal exploitation concept, so that we present here an in-depth reservoir investigation of the structural setting, including the interpretation of seismic horizons and involved fault systems.
Seismic-well tie and horizon mapping
Seismic-well ties rely on the available logging data and horizon interpretations. For the Groß-Schönebeck data, in a first step, composite gamma density and sonic velocity logs were compiled for the depth range of the E GrSk 3/90 borehole (Fig. 5). Because sonic velocity and gamma density were not measured above 2332 m and 3850 m, respectively, this composite log contains logging data from neighbouring wells covering the same stratigraphy and similar lithology and, additionally, for uncovered sections estimated density values. The resulting composite logs should represent at least a realistic sonic/density-distribution scenario for the entire drilled sequence. Additional velocity data was acquired with the DAS technique and provides a direct and robust time-depth relation that was used to calibrate the compositional sonic log. This data is available from a depth of 815 m to ca. 4250 m, covering one-way travel time and respective (measured and true vertical) depth information with a spacing of 25 m. Based on the calibrated sonic data, a synthetic seismogram was modelled to support the horizon interpretation of the 3D seismic PoSTM data. The depth-converted PreSDM-DeMultiple volume was processed by a company to remove reflection horizon multiples especially for the sub-salt depth domain. Horizons interpreted in that volume were later shifted to the respective horizon depth encountered in the boreholes.
The complete suite of seismic horizons and their interpretation in the seismic volume is given in Table 2. The uppermost seismic reflector, which is traceable in the seismic volume, represents the L2 reflector. Reflectors above are fragmentary and hard to follow in the seismic volume. Dominant, continuously developed reflectors are the L2, L4, M2, S1, S2, X1, X2 (X3), and the Z(1–3) reflectors (c.f., Krawczyk et al., 2019). Less pronounced are the reflectors K2, K3, M1, M3, R2, and R6(H6). A distinct reflectivity related to the base of the volcanic rocks (R8/C1) was not observed in the volume.
Table 2
Seismic horizons mapped in the new Groß-Schönebeck 3D seismic data set, calibrated with borehole data. Reflector names are according to Reinhardt (1993).
Reflector | Horizon | Reflector quality | Stratigraphy |
B2 | near base of Upper Cretaceous | weak (uncertain) | CRETA-CEOUS | |
BLC | near base of Lower Cretaceous | weak | |
L2 | within Jurassic (Pliensbachian) | variable | JURASSIC Lias | |
L4 | near base of Lower Jurassic | strong | |
K2 | near top of Weser Formation | variable (uncertain) | TRIASSIC Keuper | |
K3 | near top of Grabfeld Formation | well developed | |
M1 | near top of Middle Muschelkalk | strong | TRIASSIC Muschelkalk | |
M2 | within Middle Muschelkalk (anhydrite) | well developed | |
M3 | near base of Mittlerer Muschelkalk | strong | |
S1 | within Röt Formation (top of anhydrite) | strong | TRIASSIC Buntsandst. | |
S2 | near base of Röt Formation | strong | |
X1 | near top of Zechstein | strong | PERMIAN Zechstein |
X3 | near basal anhydrite (Leine Formation) | strong |
near top of basal anhydrite (Staßfurt Fm.) | Very strong |
Z3 | near base of Zechstein | well developed |
R3 | within Dethlingen Formation | variable (uncertain) | PERMIAN Rotliegend |
Top ERS | near top of Elbe reservoir sandstone | variable (uncertain) |
Base ERS | near base of Elbe reservoir sandstone | well developed |
R6 | near base of sedimentary Rotliegend | well developed |
R8 | near base of volcanic succession | very weak (uncertain) | PERMO-CARBONIF. |
Structural and lithological interpretation
The focus of the 3D seismic survey aimed at the exploration of the Rotliegend (pre-Zechstein; Krawczyk et al., 2019), so that the seismic survey was optimized for imaging deep targets which results in a lower coverage of the shallower subsurface. The most dominant seismic feature within the data is the Zechstein salt structure. While the sedimentary Rotliegend and the top of the Permo-Carboniferous volcanic rocks were also imaged by the seismic data, deeper Pre-Permian structures are hard to elaborate, the more since related borehole data is absent. Figure 6 shows for one section of the seismic volume the challenges associated with the geological interpretation at salt structures. The seismic processing applied and its visualization affects the overall appearance of reflector continuity and intensity. To improve the correct location of reflection surfaces, the CRS-stack based seismic reflection imaging is providing information that is more reliable (Fig. 6B and 6C vs. 6A). Due to strong velocity contrasts and changes by the salt doming, the corrections are highly relevant. Reflection multiples of shallower surfaces may also overlay deeper (and weaker) reflections. Processing of the seismic volume by calculation of the behaviour of reflector multiple of main shallow reflectors and subtracting them from the deeper parts of the volume may allow a more precise interpretation (Fig. 6C). However, the complexity of the processing procedure may also introduce (artificial) artefacts like at the edges of the volume and for the trace-like feature visible in Fig. 6B and 6C.
Pre-Permian and Permo-Carboniferous volcanic rocks
Some local structures and internal features within the pre-Permian are present but hard to relate to a more specific geological interpretation (Fig. 7). The volcanic rocks encountered in the E GrSk 3/90 and Gt GrSk 4/05 boreholes are not well characterized by the seismic volume. Changes in thickness of the volcanic succession or in its chemical composition is not resolved by the seismic data. In profile B and C (Fig. 7), there is an area of increased reflectivity visible in a zone about 1 km east of the GrSk drill site. Remarkably, the profile B shows in that zone a dominant feature with changing polarities (black arrow), probably related to a heterogeneous lithology, a fractured or tilted structures of the Carboniferous or even to processing artefacts rather than reflecting gas-bearing units. Based on the seismic data, at least two scenarios for the base of the volcanic sequence (the top of Carboniferous) are possible. At the supposed top of Carboniferous in the E GrSk 3/90 borehole, a weak seismic reflector is more or less traceable in the seismic volume (the upper C1? indication in Fig. 7). However, the lithostratigraphical boundary was indirectly deduced by well-log interpretation, only (Holl et al., 2015), and the interpretation is still under debate. There is a second reflectivity in a depth range of about 4400 m that is often recognizable in the seismic volume. The reflector is beyond well control but could represent an internal reflector within the Carboniferous, or even correspond to a reflectivity related to the top Carboniferous. We mapped both: one referring to a volcanic sequence thickness of about 70 m (Fig. 8A) and another referring to the lower C1 reflector shown in Fig. 7, referring to a thickness of more than 200 m (Fig. 8B).
Permian
While the petrothermal target of the Permo-Carboniferous volcanic rock succession is not very well resolved by the seismic data, the base of the sedimentary Rotliegend, corresponding to the base of the Havel Subgroup for the area of the seismic survey, is related to a seismic reflector in a depth of about 4140 m that is named R6. The R6 reflector (Table 2 and Fig. 7) marks the transition of well-cemented conglomeratic deposits of the Havel Subgroups to the volcanic extrusive rocks and is related often to a zero crossing from negative to positive amplitude change (from lower to higher velocities).
Above the R6 reflector, the ERS represents a well traceable unit with lower seismic velocities, represented by lower amplitudes at the transition from the more porous sandstone to the conglomeratic but more dense Havel Subgroup in Fig. 7. Due to the low thickness of the ERS, the true thickness distribution could not resolved from the seismic data directly. Therefore, we used the analysis of Bauer et al. (2020) to constrain its thickness better. Based on the seismic-well tie (Fig. 5), we picked the expected top and base of the ERS from the seismic data. Due to the thickness range, which is close to the seismic resolution for the corresponding depth, the mapped reflectors will not give a precise position of the depth interval of this lithological unit except for the wellsite locations where we have direct information. Especially in the NW part of the volume, the top of ERS is hard to follow. To implement the results of the seismic facies analysis (Bauer et al., 2020) in the geological interpretation, we construct a theoretical medium positioning of the ERS (using the average depth of the mapped seismic reflectors of top ERS and base ERS) first. Then, trend maps of the thickness distribution from Bauer et al. (2020) together with the picked horizons and the borehole data were used to model a more representative thickness distribution of the ERS within the seismic volume.
Another reflector in the sedimentary Rotliegend is picked as R3 reflector. It is interpreted as the top of the more sandy deposits of the Dethlingen Formation and may correlate to near of the base of Eldena (Fig. 2). The silty to clayey deposits of the Hannover Formation and uppermost Dethlingen Formation above the R3 show often horizontal and less pronounced reflectors (Fig. 7).
Faults within the sedimentary Rotliegend are not traceable along several seismic lines. There are some indications for possibly subseismic faults in certain lines but they vanish on a very small scale. Attribute analyses for the base of ERS and other horizons (like R3 or R6) do not show any distinct fault pattern.
The sedimentary Rotliegend shows a smooth trend of lower depths in the northeast (about 4095 m) compared to the southwest (around 4185 m). The total thickness from the base of the Havel Subgroup (R6) to the base of the Zechstein succession (Z3) is increasing from NE to SW from about 300 to close to 400 m in the southern margin of the seismic volume with a mean thickness of 345 m (Fig. 8B).
The Zechstein deposits represent a succession of rocks with different density and sonic velocity, for instance of salt and anhydrite or salt and limestone. The resulting strong impedance contrasts are providing strong and distinct seismic reflectors in this formation. Due to the basin-wide cyclicity of the Zechstein deposits, these seismic markers are also traceable basin-wide on seismic sections. The base of Zechstein (Z3, Figs. 5–7) is seismically very well developed because the anhydrite-mudstone transition from Zechstein to the Upper Rotliegend has a strong acoustic impedance contrast. It is located at a depth of ca. 3750–3800 m. In the E GrSk 3/90 borehole, the base of the Zechstein succession (the Werra Formation) consists of a 30-cm thick black mudstone, representing the “Kupferschiefer”, 5 meters of limestones and marlstones, and 67 m of anhydrite (intercalated with anhydritic halite). Above the Werra Formation, representing the first Zechstein cycle, the basal Staßfurt Formation (2nd Zechstein cycle) is composed of limestone (ca. 5.5 m thick) and anhydrite (ca. 2.5 m thick) which is overlain by more than 1,115 m of halite, followed by 100 m of sylvine and ca. 1 m of anhydrite. The Z1 reflector corresponds to the transition of the Staßfurt salt to the underlying anhydrite (Fig. 5). The 3rd Zechstein cycle is represented by the Leine Formation. At the base, a couple of meters of dolomitic mudstones are present, followed by 45 m of anhydrite and 150 m of halite with an intercalation of 6 m thick clayey anhydrite. The impedance contrasts of the anhydrite of the Leine Formation and the rock salt of the Staßfurt formation cause another strong reflector (X3 or the so called “Z3 stringer” for the third Zechstein evaporation cycle (Table 2). The Aller and Ohre Formations represent the youngest two cycles of the Zechstein succession in Groß Schönebeck. Above a few meters of clayey and anhydritic sediments, salt rocks are present: ca. 50 m and 12 m in the Aller Formation and the Ohre Formation, respectively. The mapped X1 reflector corresponds to the anhydrite / rock salt succession near the top of the Zechstein. Figure 8C shows the thickness distribution of the Zechstein deposits that clearly outlines the anticlinal structure underneath Groß Schönebeck.
At the top of the anticlinal structure, a pronounced graben-like structure is present in the X3 horizon. The main faults are located ca. 1 km north of the E GrSk 3/90 borehole and is NW-SE oriented (Fig. 9A, B), showing an offset of up to ca. 30 meters. This feature is one to more than two kilometres in length and exhibits a complex and circular fracture pattern at its SE margin. Because this pattern could not be mapped seismically in the overburden it is interpreted as an internal anhydritic and compact Zechstein stringer, overflown by rock salt that is more mobile. At the base of Zechstein (Z3), no basal faults are visible in the seismic volume (Fig. 9C, D).
Post-Permian
A number of continuously existing reflectors exists in the post-Permian succession. Most prominent are the S1 and S2 reflectors, the M1 and M2 reflectors, and the L2 and B2 reflectors (Fig. 5). In the seismic volume, those reflectors are very well developed in the southern area of the survey. They are less distinct north of the GrSk drillsite. Here, different effects are assumed to be responsible for this loss in quality of the seismic signal: the fracture zone indicated by the broken X3 stringer at the top of the anticlinal structure may extend towards the overburden and account for a scattering and damping of the seismic signal. The graben-like structure, clearly visible in the uppermost Zechstein, is not very distinct in the post-Permian succession. The less developed continuity of the seismic reflection horizons in the northern part of the study area, clearly visible in the CRS PreSDM volume, may reflect a fault system related to the deeper Zechstein salt pillow evolution, but not resolved in the 3D seismic data.
Based on the seismic interpretation, the thickness distribution of the Mesozoic and Cenozoic sediments allows an interpretation of the salt pillow evolution. The Buntsandstein thickness shows a mean of 825 m within a variability of 780–880 m. Its distribution seems to be unrelated to the later salt structure (Fig. 10A). Only in the south eastern and south-western corner of the study area, slightly enhanced thicknesses may indicate a first initiation of the salt structure development. The thickness of the Muschelkalk (Fig. 10B) shows a more generalized distribution pattern with larger thicknesses in the south and decreasing thicknesses towards the top of the anticlinal structure. The Muschelkalk thickness shows thereby a maximum variation (difference) of up to 120 m in the study area. An intense evolution of the salt structure is documented by the Upper Triassic (Keuper) sedimentary thickness distribution (Fig. 10C). The development of salt rim depression zones, where salt migrates towards the anticlinal structure, allows the sedimentation of greater sediment thicknesses while the sedimentary thickness is reduced on top of the salt structure. This trend continues for the Jurassic and Cretaceous sediment thicknesses (Fig. 10D and 10E), indicated by the slightly increasing variation of the sedimentary thickness for the both units. The Tertiary sediment thickness is affected by the salt pillow topography and by the Quaternary occurred glacial overprint, resulting in the erosion of Tertiary sediments (incision trough, Fig. 10F).
Reservoir model
The established structural model enables the framework for a new Rotliegend reservoir model for further site development. The model comprises the Permo-Carboniferous volcanic rock section and the sedimentary Rotliegend. The geological modelling of the involved structural units and facies types represents the first step of the model construction. In a second step, we parameterized the respective units according to the available borehole and laboratory data.
Determination of parameters for facies modelling
Permo-Carboniferous volcanic rocks
The sequence encountered in the E GrSk 3/90 borehole consists of several layered lava beds and tuffs showing a single bed thickness of one to over three meter (based on core and microresistivity borehole image analysis, Fig. 11). Whereas the top of the volcanic sequence is well preserved by cores showing the transition to the conglomeratic deposits of the Havel Formation, the base of the volcanic sequence and hence it thickness is not proven by the available data. The volcanic rocks encountered in the E GrSk 3/90 borehole are of andesitic composition and show only subordinate fracturing. The rocks cored exhibits an amygdaloidal structure with variable crystal sizes. According to the observed effusive bed thicknesses, the unit was parameterized layer-wise with a vertical resolution of about 2–3 m. Where volcanic bed boundaries could be observed in the borehole image log, they were picked, indicating an N to NNW oriented mean flow direction of the andesitic lava (330°). The thickness of a single volcanic layer amount to about 30 cm for a tuff layer to about 7 m for an andesitic lava bed. Lavas do clearly dominate over pyroclastic deposits and the mean dip of the surfaces accounts to 15° (showing a range of 5 to 60°). Therefore, it is expected that the Groß Schönebeck site is located in a near-medial to a near central proximal distance to the volcanic vents according to Bogie & Mackenzie (1998) and that the general volcanic succession will not change fundamentally within the modelled seismic volume. However, the overall thickness of the sequence is questionable, and therefore the composition and structuring of the sequence beyond well control is provisional. Following the hitherto assumptions (see section “Permian” above and, e.g., Holl et al., 2005), the sequence may show a thickness of about 70 m or more than 200 m. We set up two models, one considering a thickness of 70 m (model A, shown in the following) and one considering a thickness of 200 m (model B, see discussion) based on the weak seismic reflector observed at a depth level of about 4.4 km.
Sedimentary Rotliegend
For reservoir simulation, four different sedimentary facies types were considered (Fig. 11, Table 3). Most of the coarse-grained bed-load dominated and conglomeratic deposits of the Havel Formation are interpreted as multi-storeyed channel sediments of a braided plain fluvial system with a paleocurrent direction towards NNE (Holl et al., 2005). To investigate the geometrical setting of this fluvial system, mean and deviation of cross-bed thickness were determined from the borehole image log of the E GrSk 3/90 borehole (0.59 m and 0.27 m, respectively). This may reflect a paleochannel depth of about 9 m (see Bridge and Tye (2000); Leclair and Bridge, 2001) and correlate to a channel belt width of about 3500 m according to Bridge and Mackey (1993). As our study relies on data from one borehole (E GrSk 3/90) only and the used equations cover a huge spectrum of very different fluvial systems (see, e.g., Gibling, 2006) and have considerable errors, the deduced geometrical parameter given in Table 3 represent a rough estimation of a principal architecture.
The second facies element represents the ephemeral stream floodplain environment identified by Holl et al. (2005) for the Dethlingen Formation. As described by the authors, the fine- to coarse-grained sandstones are amalgamated in character and show fining-upward trends to the top of the formation, representing proximal to distal fluvial facies. Transport direction is towards W and NW (265–305°). Within the lower part of the Dethlingen Formation the ERS is developed and shows small to large-scale cross-bedded and low-angle cross-bedded sandstones as well as horizontally laminated sands (Fig. 11). The sediments are interpreted as fluvial reworked aeolian deposits. The estimation of the geometrical architecture of the stream floodplain based on borehole interpretation shown in Table 3 is based on a mean bed thickness and thickness deviation of 0.32 m and 0.2 m. Bar thicknesses, estimated from log data, showed a range of 4–8 m, giving some support for the interpretation. Based on the higher resolution of the DAS-VSP seismic data, Martuganova et al. (2022) could map a 20–30 m thick horizon within the Dethlingen Formation, which they interpreted as a higher porous sandy reservoir section, possibly representing the seismic visible part of a stacked channel architecture. However, internal channel structures are not resolved by the data that is itself limited to the near-borehole area. We therefore use this information as a depth-related trend volume to guide the petrophysical modelling of the ERS, demanding for higher porosities in this zone (see also next section).
The sandy mudflat and mudflat facies types of the Dethlingen and Hannover Formation were represented by finer siliciclastics, indicating the transition to the Zechstein transgression. Borehole image logs are not available for this section. For the sandy mudflat environment, siltstone and fine-grained sandstones are present which are interpreted as deposits of sporadic higher current velocities in channel-like structures, assuming the architectural parameters presented in Table 3 (inspired the range for crevasse channels given by Gibling, 2006). The mudflat facies finally consists of mudstones of the playa environment without channels.
Parameter compilation for petrophysical modelling
Permo-Carboniferous volcanic rocks
The petrophysical properties of this sequence was evaluated based on the available laboratory measurements of porosity, permeability, thermal properties including density, and log analysis (Fig. 11). Because only GR and Sonic logs and limited core material are available for the lowermost section of the borehole, the core-log analysis of this section represents a first order estimate. For the evaluation of permeability, we used a correlation given by Siratovitch et al. (2014) for andesitic rocks of the Taupo Volcanic Zone in New Zealand. They establish a relation between connected porosity and permeability for the Rotokawa andesite which we applied to our data (dotted line in Fig. 11), showing a quite reasonable match with the laboratory determined permeabilities. Based on the estimated permeability, its anisotropy was calculated as the ratio between the harmonic and the arithmetic averages for 2-m depth intervals (see Table 4a). The thermal conductivity for the igneous rock section was determined using the well-log approach of García et al. (1989) developed for andesitic rocks for the Los Azufres geothermal field in Mexico. They used thermal conductivity measurements under ambient conditions on dry core samples, showing similar values as on andesitic samples of the Northeast German Basin, and correlate them with sonic and density well-log data. To apply their approach on the log data of E GrSk 3/90, we calculated porosity and density from the sonic log based on correlations derived from measurements of Siratovitch et al. (2014). Specific heat capacities of the volcanic rock section were calculated using a formula provided by Heap et al. (2020), developed for andesitic rocks of Mt. Ruapehu in New Zealand based on porosity, bulk and matrix density. Because the approach provides ambient thermal conductivity values, not considering in-situ pT conditions, corresponding corrections were considered. Thermal conductivity was corrected using the pT corrections of Emirov et al. (2017) and Segikuchi (1984), respectively. Heat capacities were T-corrected using the approach of Waples & Waples (2004) and thermal diffusivity calculated based on the corrected thermal conductivity and heat capacity values and the estimated density log.
In terms of petrophysical properties, the tuffite and the andesitic lava beds most likely exhibit some differences (Fig. 11) which could not be evaluated further based on the available data quality. Total porosity (PHIT) of the igneous section was modelled facies-dependent for the modelled layers based on the input data given in Table 4. As a next step, bulk density (BD), effective porosity (PHIGE), and fluid permeability (PERM) were simulated considering the PHIT distribution (using the collocated co-Kriging function, see Table 4a). The thermal conductivity (TC) of the succession was estimated by the approach of García (1989) using the attributed PHIT and BD distributions and applying the same pT-corrections as in the log interpretation. Finally, the expected in-situ SHC was deduced in the same way as for the log interpretation referring to the simulated PHIT and BD distributions and using the approach of Heap et al. (2020) and corrections mentioned above. Finally, the TD of the igneous rocks was derived from the so far determined properties with TD = TC/(SHC*BD).
Table 3
Input data and ranges for facies simulation.
Unit | Stratigraphy | Modelled | Depth range [m] | Background | N/G ratio | Main | Range and mean (channels) |
| | facies | (E GrSk 3/90) | facies | [dec] | lithology | Orientation [°] | Amplitude [km] | Wavelength [km] | Width [km] | Thickness [m] |
7 | Upper Hannover Fm. (Mellin) | (sandy mudflat) | 3875–3901 | mudflat playa | 0.02 | mudstone | like sandy mudflat in unit 5 |
6 | Hannover Fm. (Mellin-Peckensen) | sandy mudflat | 3901–3941 | mudflat playa | 0.1 | mudstone, siltstone, and some sandstone | like sandy mudflat in unit 5 |
5 | Dethlingen to Hannover Fm. (Peckensen-Eldena) | sandy mudflat | 3941–4084 | mudflat | 0.4 | siltstone, fine-grained sandstone | 275–360 (300) | 0.8–2.5 (1.5) | 1.0–5.0 (2.5) | 0.005–0.4 (0.06) | 0.2–8.0 (2.0) |
4 | Dethlingen Fm. (Eldena) | epheremal stream floodplain | 4084–4134 | sandy mudflat | 0.85 | siltstone, fine-grained sandstone | 200–360 (290) | 0.6–2.5 (1.7) | 2.0–8.0 (4.0) | 0.7–3.3 (2.1) | 4.0–8.0 (6.0) |
3 | Dethlingen Fm. (Rambow, ERS) | epheremal stream floodplain | 4134–4185 | sandy mudflat | 0.99 | fine- to coarse grained siltstone | 225–340 (290) |
2 | Mirow Fm. (Havel subgroup) | braided river | 4185–4222 | sandy mudflat | 0.8 | coarse-grained sandstone and conglomerate | 290 (-70) – 90 (345) | 0.6–2.5 (1.7) | 2.0–8.0 (4.0) | 2.5–4.5 (3.5) | 8.0–12.0 (9.0) |
1 | Permo-Carboniferous | tuffite, massive andesite | 4222–4292 | none | 0.85 | amygdaloidal andesitic rocks | 290 (-70) – 45 (355) | - | - | several km | 0.3–7.0 (2) |
Table 4: Input parameter used for petrophysical modelling.
a) Volcanic rock section
Facies | bed thickness | range and mean | Variogram input (major/minor/ |
Lithology | [m] | PHIT [dec] | PHIGE+ [dec] | BD++ [kg/m³] | PERM [mD] | TC [Wm− 1K− 1] | TD [10− 6 m2s− 1] | SHC [Jkg− 1K− 1] | vertical [m], azimuth [°]) |
Tuffitic layers | 0.3–2.9 (1.4) | 0–0.13 (0.04) | 0–0.06 (0.02) | 2420–2890 (2660) | 0–0.09 (0.01) | 1.9–2.1 (2.0) | 0.73–0.79 (0.77) | 960–985 (979) | 2000/1500/2, 330 |
Andesitic lava beds | 0.4–7.0 (2.2) | 0–0.11 (0.04) | 0–0.08 (0.02) | 2460–2820 (2630) | 0–0.06 (0.01) | 1.8–2.1 (2.0) | 0.75–0.80 (0.79) | 971–985 (983) | 2000/1500/3, 330 |
b) Sedimentary Rotliegend
Facies | Range and mean | Perm [mD] | R2 of PERM | Perm anisotropy | Variogram input (major/minor/vertical [m], azimuth [°]) |
PHIT [dec] | PHIGE+ [dec] | BD++ [kg/m³] | Vshale+++ [dec] | TC [Wm− 1K− 1] | TD [10− 6 m2s− 1] | SHC [Jkg− 1K− 1] |
Braided plain fluvial | 0–0.16 (0.05) | 0–0.05 (0.0) | 2510–2690 (2590) | 0.1–0.6 (0.2) | 2.4–3.7 (3.2) | 1.17–1.70 (1.49) | 640–920 (805) | 6662000 · PHIT8.237 | 0.86 | 0.6 | 500/250/5, 345 |
Ephemeral stream floodplain | 0–0.21 (0.11) | 0–0.18 (0.08) | 2280–2690 (2450) | 0.01–0.5 (0.1) | 2.4–4.0 (3.4) | 1.19–1.81 (1.50) | 650–1335 (1035) | 22050000 · PHIT8.421 | 0.93 | 0.4 | 500/150/10, 290 |
Sandy mudflat | 0–0.17 (0.05) | 0–0.11 (0.03) | 2510–2740 (2660) | 0.01–0.7 (0.3) | 1.6–4.0 (2.9) | 0.83–1.85 (1.39) | 490–1010 (840) | 3965 · PHIT5.794 | 0.61 | 0.2 | 1500/1000/5, 290 |
Mudflat playa | 0–0.18 (0.04) | 0–0.01 (0.0) | 2630–2750 (2710) | 0.01–0.8 (0.5) | 1.5–3.7 (2.3) | 0.74–1.76 (1.11) | 580–1335 (865) | 24020 · PHIT6.613 | 0.86 | 0.2 | 1500/1250/15, 300 |
+ Collocated co-Kriging with total porosity (PHIT) using a correlation coefficient of 0.8, ++ Collocated co-Kriging with total porosity (PHIT) using a correlation coefficient of -0.8, +++ Collocated co-Kriging with effective porosity (PHIGE) using a correlation coefficient of -0.8, # estimated for a vertical grid size of 1 m.
Sedimentary Rotliegend
For the evaluation of petrophysical properties, we could rely on the extensive data set of the E GrSk 3/90 borehole. Routine core analysis of the industry provided porosity and density measurements for 200 core plugs, while gas permeability measurements were determined for a sub-volume of 107 plugs. The dataset was extended by further measurements on 29 additional core plugs conducted for enhanced characterization of the site after re-opening of the well. Porosity from well logging was determined using density and neutron logging (Fig. 11). Permeability is shown from single borehole logging (via pulsed-neutron logging, PNL) and based on implementation of the Coates equation. Prior to application of the Coates equation, laboratory gas permeabilities were corrected for in-situ conditions differentiating between three permeability levels (< 160 mD, 160–660 mD, > 660 mD) using the approach of Juhasz (1986). The resulting core data and the log data was then used to establish a permeability relation after Coates et al. (1991). The constants for the Coates relation are found to amount to 750, 6, and 1.4, for a, b, and c, respectively. The derived Coates permeability log shows a general agreement with the permeability estimated by the PNL, but in general a better agreement with the in-situ corrected laboratory-derived permeability data. The comparison of core and log data (Fig. 12) shows in general a very similar distribution, the paired quantile-quantile plot of the effective permeability shows, however, that the log-derived permeability of permeabilities less than 1 mD deviates from the corrected core data, providing slightly higher permeabilities. Anisotropy of permeability was calculated as the ratio between the harmonic and the arithmetic averages of log-derived permeability. Anisotropy ranges from 0.2 to 0.6 for a grid size of 1 m, depending on the respective facies (Table 4b). Log-derived thermal conductivity was calculated using the neutron-neutron, the sonic, and the gamma ray (Vshale) log, thermal diffusivity was estimated based on the neutron-neutron and the gamma ray (Vshale) log, and specific heat capacity was evaluated using the neutron-neutron, the gamma density, and the gamma ray (Vshale) log according to Fuchs et al. (2015). In Fig. 11, the thermal properties based on log estimates are compared to in-situ corrected laboratory measurements. The laboratory derived data was corrected to the respective pressure and temperature conditions by applying the formula of Emirov (2017) and Somerton (1992) for ambient thermal conductivity, the temperature-correction given by Waples and Waples (2004) for specific heat capacity (assuming that pressure is of minor influence on the heat capacity), and calculating the thermal diffusivity based on the in-situ thermal conductivity, temperature corrected heat capacity, and respective laboratory-derived density.
Reservoir modelling
In order to model the distribution of petrophysical properties within the sedimentary succession, we firstly addressed the total porosity (PHIT). Depending on the respective facies, the PHIT distribution was modelled using the geostatistical input provided in Table 3. For the ERS, the seismic facies analysis of Bauer et al. (2020) and the DAS-VSP analysis of Martuganova et al. (2022; for the near-borehole area only) were used as additional trend information for the general probability of higher porosities in the sandy reservoir section. PHIGE of this unit was modelled in relation to PHIT using the collocated co-kriging algorithm of Petrel (Table 4). For a representative and consistent parameterization with permeability and thermal properties, bulk density (BD) of the rocks and the clay content (Vshale) were assigned to the grid cells. They were simulated based on the distribution of PHIT (for BD) and of PHIGE (for VShale) using the input parameters specified in Table 4b. PERM was calculated on PHIT (Table 3) and TC was estimated using the BD and Vshale distributions, while the TD distribution was predicted based on Vshale (formulas after Fuchs et al., 2015) and on an empirical correlation with the TD obtained at the borehole log interpretation (based on Vshale and NN, see above). The SHC of this section was calculated using the estimated distributions of TC, TD, and BD according to SHC = TC/(TD*BD).
Figure 13 illustrates the facies-dependent parameterization of the geological model, addressing the mentioned petrophysical properties. In the vertical distribution of the modelled properties, the Permo-Carbniferous volcanic rock sequence (unit 1) at the model bottom shows clearly a layered character, low porosities and different thermal properties than the overlying sedimentary units. The dense conglomeratic rocks of the Mirow Formation (unit 2) show similar bulk densities as the volcanic rocks, but show considerably different transient thermal properties compared to the adjacent model units (13 h, i). Unit 3 (Dethlingen Formation), containing the ERS, is most prominent by showing the best hydraulic properties. The formations above unit 3 are characterized by fine-grained sediments of playa and mud-flat environments, resulting in higher shale content, lower specific heat capacities, and with overall much poorer reservoir properties (Fig. 13). Although the thickness of unit 3 is more or less constant along the section shown in Fig. 13, the parameter of the facies model provokes also some lateral and vertical variation in the property distribution. The lateral variation is also guided by the seismic facies analysis for the ERS, indicating areas of higher porosity or thickness of the ERS. Figure 14 shows the modelled thickness and the distribution of PHIT, Vshale, PERM, and TC, guided by the seismic facies analysis and the interpreted geophysical and laboratory data.