A. Barnhoorn
Please Note
28 records found
1
...
This thesis generates a comprehensive database of thermal, acoustic, and mechanical properties for key Dutch geothermal formations. Based on measured data and their integration with downhole petrophysical logs, several predictive equations and models were developed, including machine learning approaches. These models improve property prediction tailored to the Dutch subsurface and enhance geothermal reservoir characterisation in general.
The research begins with a comprehensive study of Permian Rotliegend sandstones, a key geothermal reservoir in the Netherlands. More than 1100 core plugs were analysed to determine porosity, density, acoustic velocities, thermal properties, and mineralogy. The results confirm that porosity is the primary control on most rock properties. Higher porosity corresponds to lower density, acoustic velocity, thermal conductivity, and diffusivity. Systematic deviations from porosity trends were linked to mineralogical and diagenetic factors. For example, nacrite and other kaolinite group minerals enhanced thermal conductivity beyond porosity based predictions, whereas other clay types reduced it. Porosity dominates, but mineralogy and texture impose measurable secondary effects.
The analysis was extended to the Triassic Main Buntsandstein Subgroup, with more than 700 core plugs studied and compared directly to the Rotliegend dataset. Similar porosity dependent trends were observed, but systematic inter formation differences emerged. At equal porosity, Buntsandstein samples show lower thermal conductivity than Rotliegend samples. This difference is attributed to variations in clay type and distribution, as well as mineralogical features such as dolomite cementation and replacive clays. The lower Cretaceous Delft Sandstone Member was investigated to assess coupled mechanical and thermal behaviour. Laboratory tests included ultrasonic velocity measurements, thermal properties, and mechanical loading. Dynamic elastic moduli derived from ultrasonic data were systematically higher than static moduli measured during loading. A lithology specific workflow was developed to convert dynamic to static Young modulus, enabling continuous static modulus logs. Sandstones follow trends comparable to Permian samples, while clay rich intervals exhibit distinct but explainable behaviour due to low porosity.
The final part focuses on machine learning based prediction of thermal properties using laboratory and well log data. Ensemble models and regularised regression achieved promising results for thermal conductivity prediction, even in unseen wells. Thermal diffusivity remained poorly predictable, reflecting its sensitivity to mineralogical and microstructural factors. Density and acoustic features dominate conductivity prediction, whereas no single parameter controls diffusivity.
Overall, this thesis establishes a coherent framework for predicting thermo physical and mechanical properties of Dutch geothermal sandstones. It combines laboratory measurements, petrophysical analysis, and machine learning to improve reservoir characterisation and support reliable geothermal resource assessment.
...
This thesis generates a comprehensive database of thermal, acoustic, and mechanical properties for key Dutch geothermal formations. Based on measured data and their integration with downhole petrophysical logs, several predictive equations and models were developed, including machine learning approaches. These models improve property prediction tailored to the Dutch subsurface and enhance geothermal reservoir characterisation in general.
The research begins with a comprehensive study of Permian Rotliegend sandstones, a key geothermal reservoir in the Netherlands. More than 1100 core plugs were analysed to determine porosity, density, acoustic velocities, thermal properties, and mineralogy. The results confirm that porosity is the primary control on most rock properties. Higher porosity corresponds to lower density, acoustic velocity, thermal conductivity, and diffusivity. Systematic deviations from porosity trends were linked to mineralogical and diagenetic factors. For example, nacrite and other kaolinite group minerals enhanced thermal conductivity beyond porosity based predictions, whereas other clay types reduced it. Porosity dominates, but mineralogy and texture impose measurable secondary effects.
The analysis was extended to the Triassic Main Buntsandstein Subgroup, with more than 700 core plugs studied and compared directly to the Rotliegend dataset. Similar porosity dependent trends were observed, but systematic inter formation differences emerged. At equal porosity, Buntsandstein samples show lower thermal conductivity than Rotliegend samples. This difference is attributed to variations in clay type and distribution, as well as mineralogical features such as dolomite cementation and replacive clays. The lower Cretaceous Delft Sandstone Member was investigated to assess coupled mechanical and thermal behaviour. Laboratory tests included ultrasonic velocity measurements, thermal properties, and mechanical loading. Dynamic elastic moduli derived from ultrasonic data were systematically higher than static moduli measured during loading. A lithology specific workflow was developed to convert dynamic to static Young modulus, enabling continuous static modulus logs. Sandstones follow trends comparable to Permian samples, while clay rich intervals exhibit distinct but explainable behaviour due to low porosity.
The final part focuses on machine learning based prediction of thermal properties using laboratory and well log data. Ensemble models and regularised regression achieved promising results for thermal conductivity prediction, even in unseen wells. Thermal diffusivity remained poorly predictable, reflecting its sensitivity to mineralogical and microstructural factors. Density and acoustic features dominate conductivity prediction, whereas no single parameter controls diffusivity.
Overall, this thesis establishes a coherent framework for predicting thermo physical and mechanical properties of Dutch geothermal sandstones. It combines laboratory measurements, petrophysical analysis, and machine learning to improve reservoir characterisation and support reliable geothermal resource assessment.
Image Analysis of Granular Materials
Understanding the Effects of High Temperatures and Pressures
Our experimental investigations employ uniaxial compressive tests on intact Red Felser sandstone samples, subjecting them to cyclic recursive (CR), cyclic progressive (CP), and monotonic stress patterns at varying stress rates. The recording of Acoustic Emission (AE) waveforms revealed that cyclic stress patterns, especially CP, are characterized by lower maximum AE amplitudes compared to the monotonic pattern. By reducing the stress rate, the maximum AE energy and final mechanical strength both decrease significantly. Moreover, high-stress rates were found to alter the AE signature of events, suggesting that cyclic stress patterns combined with low-stress rates may mitigate induced seismicity in subsurface injection operations.
For underground energy storage, we investigate the geomechanical response of Red Felser sandstone to cyclic loading, crucial for safe and efficient underground porous reservoir operations. Experimental results, complemented by constitutive modeling, revealed various deformation mechanisms, including linear elastic, viscoelastic, and inelastic responses. Our study shows that the magnitude of inelastic deformations is influenced by mean stress, amplitude, and frequency of the stress waveform, with our models closely fitting the experimental data.
As part of our investigation into mitigating induced seismicity, we examine how stress and sliding patterns affect fault slip behaviour and seismicity evolution. To achieve this we carry out displacement-driven fault reactivation experiments on saw-cut Red Felser sandstones. Our results indicated that cyclic sliding, compared to continuous sliding, reduces seismicity but can accelerate slip velocity during the reloading phase due to the healing of gouge material on the fault plane. Additionally, under-threshold cycling effectively prevents seismicity and shear slip but poses a risk of increased seismicity if shear stress exceeds critical levels.
Furthermore, we explore the influence of injection pattern and rate on fault reactivation in porous Red Felser sandstone. High injection rates were linked to increased slip velocity and seismicity. Furthermore, our results from samples subjected to various injection patterns demonstrate that the cyclic recursive pattern exhibits a higher maximum slip velocity, more episodes of slow slip, and greater radiated AE energy than a monotonic pattern. A proper injection strategy must consider fault drainage, critical shear stress, injection rate, and injection pattern. Our results demonstrate that a monotonic injection pattern and low pressurization rate may mitigate seismicity on pre-existing faults in a highly permeable porous reservoir.
Finally, we investigate the fault slip nucleation within a displaced fault system. Our triaxial experiments on displaced faults reveal that differential compaction intensifies from the top of the sample towards the internal corner at the centre of the fault, indicating a variation in the stress field surrounding the fault plane. Our direct measurements near the displaced fault plane confirm the anomalies and peaks in stress observed in previous numerical and analytical studies.
This thesis offers new insights into the mechanical behaviour and seismicity evolution of intact and faulted reservoir rocks under variations in stress patterns and rates. These findings may contribute to mitigating injection-induced seismicity in intact and porous faulted rock settings. Furthermore, they enhance our understanding of the behaviour of deep geo-reservoirs subjected to diverse injection strategies, thereby expanding our knowledge of reservoir-related phenomena. ...
Our experimental investigations employ uniaxial compressive tests on intact Red Felser sandstone samples, subjecting them to cyclic recursive (CR), cyclic progressive (CP), and monotonic stress patterns at varying stress rates. The recording of Acoustic Emission (AE) waveforms revealed that cyclic stress patterns, especially CP, are characterized by lower maximum AE amplitudes compared to the monotonic pattern. By reducing the stress rate, the maximum AE energy and final mechanical strength both decrease significantly. Moreover, high-stress rates were found to alter the AE signature of events, suggesting that cyclic stress patterns combined with low-stress rates may mitigate induced seismicity in subsurface injection operations.
For underground energy storage, we investigate the geomechanical response of Red Felser sandstone to cyclic loading, crucial for safe and efficient underground porous reservoir operations. Experimental results, complemented by constitutive modeling, revealed various deformation mechanisms, including linear elastic, viscoelastic, and inelastic responses. Our study shows that the magnitude of inelastic deformations is influenced by mean stress, amplitude, and frequency of the stress waveform, with our models closely fitting the experimental data.
As part of our investigation into mitigating induced seismicity, we examine how stress and sliding patterns affect fault slip behaviour and seismicity evolution. To achieve this we carry out displacement-driven fault reactivation experiments on saw-cut Red Felser sandstones. Our results indicated that cyclic sliding, compared to continuous sliding, reduces seismicity but can accelerate slip velocity during the reloading phase due to the healing of gouge material on the fault plane. Additionally, under-threshold cycling effectively prevents seismicity and shear slip but poses a risk of increased seismicity if shear stress exceeds critical levels.
Furthermore, we explore the influence of injection pattern and rate on fault reactivation in porous Red Felser sandstone. High injection rates were linked to increased slip velocity and seismicity. Furthermore, our results from samples subjected to various injection patterns demonstrate that the cyclic recursive pattern exhibits a higher maximum slip velocity, more episodes of slow slip, and greater radiated AE energy than a monotonic pattern. A proper injection strategy must consider fault drainage, critical shear stress, injection rate, and injection pattern. Our results demonstrate that a monotonic injection pattern and low pressurization rate may mitigate seismicity on pre-existing faults in a highly permeable porous reservoir.
Finally, we investigate the fault slip nucleation within a displaced fault system. Our triaxial experiments on displaced faults reveal that differential compaction intensifies from the top of the sample towards the internal corner at the centre of the fault, indicating a variation in the stress field surrounding the fault plane. Our direct measurements near the displaced fault plane confirm the anomalies and peaks in stress observed in previous numerical and analytical studies.
This thesis offers new insights into the mechanical behaviour and seismicity evolution of intact and faulted reservoir rocks under variations in stress patterns and rates. These findings may contribute to mitigating injection-induced seismicity in intact and porous faulted rock settings. Furthermore, they enhance our understanding of the behaviour of deep geo-reservoirs subjected to diverse injection strategies, thereby expanding our knowledge of reservoir-related phenomena.
Current monitoring relies on post-failure seismic recordings, emphasizing the need for advancements in monitoring and forecasting techniques. Detecting stress changes before seismicity (pre-failure) occurs allows for the timely implementation of mitigation measures. Active seismic monitoring methods have the potential to detect stress changes early and as such precursory information that can improve the forecasting methods and models. However, there is still much to discover regarding the relationship between precursors and the underlying physics. In general, the common fault mechanisms during the seismic cycle are well known. Initial stress build-up is followed by first slip instabilities where the local stress exceeds the fault strength, leading up to a seismic event, during which stress on the fault is released. However, robust and reliable predicting of fault failure and the resulting earthquake has proven to be challenging even for reactivating experimental faults in a controlled laboratory setting.... ...
Current monitoring relies on post-failure seismic recordings, emphasizing the need for advancements in monitoring and forecasting techniques. Detecting stress changes before seismicity (pre-failure) occurs allows for the timely implementation of mitigation measures. Active seismic monitoring methods have the potential to detect stress changes early and as such precursory information that can improve the forecasting methods and models. However, there is still much to discover regarding the relationship between precursors and the underlying physics. In general, the common fault mechanisms during the seismic cycle are well known. Initial stress build-up is followed by first slip instabilities where the local stress exceeds the fault strength, leading up to a seismic event, during which stress on the fault is released. However, robust and reliable predicting of fault failure and the resulting earthquake has proven to be challenging even for reactivating experimental faults in a controlled laboratory setting....
One effective technique in the mitigation of these emissions is called Carbon Capture and Storage (CCS). It is not a new technology, in fact, it has been used in the Oil \& Gas industry since the early 1970s for the purpose of Enhanced Oil Recovery (EOR). In very general terms, when CO$_2$ is mixed with petroleum in the subsurface, its viscosity decreases making it easier to extract more oil. In addition, some of the CO$_2$ gets trapped in the rock which introduced the idea to use the mechanism to reduce CO$_2$ concentrations in the atmosphere.
However, this technique is not absent of risks and it is one of the main drawbacks experienced with activities that involved the subsurface, the surrounding uncertainties are too great sometimes. Some of the risks that could be encountered when producing, injecting or drilling a well in the subsurface are: under or over pressurization, leakage, uplift or subsidence, induced seismicity, and fault reactivation. In order to reduce the mentioned risks, geomechanical studies help with the understanding of the rock behavior and their response to applied stresses.
In this thesis, UCS and Triaxial laboratory experiments were carried out to test the geomechanical behavior of different rocks coming from Norway, Denmark and Germany. For the triaxial tests, five different cycles at different and increasing $P_c$ were performed. Doing so, some main insights were obtained: the modulus of elasticity increases with depth and confining pressure more significantly with $P_c$ lower than 30 MPa, and plateauing at higher $P_c$; the Young's modulus decreases with increasing porosity and increases with increasing cohesion; the P and S waves velocities change when the yield point is surpassed; with low porosity and high cohesion the acoustic velocities are not dependent on the $P_c$, and vice versa; the SYM and DYM follow similar trends; and the elastic modulus is negatively dependent on the Poisson's ratio.
The information and data obtained from this geomechanical study will be of use to model predictions involving CCS projects to avoid reaching the risks factors mentioned. An example of the lack of knowledge and understanding about rock behavior could be the induced seismicity caused by the extraction of gas from the Groningen gas field. These seismic events acted as a turning point, sparking a necessary shift in perspective and paving the way for a more informed and balanced perception of activities involving the use of the subsurface. ...
One effective technique in the mitigation of these emissions is called Carbon Capture and Storage (CCS). It is not a new technology, in fact, it has been used in the Oil \& Gas industry since the early 1970s for the purpose of Enhanced Oil Recovery (EOR). In very general terms, when CO$_2$ is mixed with petroleum in the subsurface, its viscosity decreases making it easier to extract more oil. In addition, some of the CO$_2$ gets trapped in the rock which introduced the idea to use the mechanism to reduce CO$_2$ concentrations in the atmosphere.
However, this technique is not absent of risks and it is one of the main drawbacks experienced with activities that involved the subsurface, the surrounding uncertainties are too great sometimes. Some of the risks that could be encountered when producing, injecting or drilling a well in the subsurface are: under or over pressurization, leakage, uplift or subsidence, induced seismicity, and fault reactivation. In order to reduce the mentioned risks, geomechanical studies help with the understanding of the rock behavior and their response to applied stresses.
In this thesis, UCS and Triaxial laboratory experiments were carried out to test the geomechanical behavior of different rocks coming from Norway, Denmark and Germany. For the triaxial tests, five different cycles at different and increasing $P_c$ were performed. Doing so, some main insights were obtained: the modulus of elasticity increases with depth and confining pressure more significantly with $P_c$ lower than 30 MPa, and plateauing at higher $P_c$; the Young's modulus decreases with increasing porosity and increases with increasing cohesion; the P and S waves velocities change when the yield point is surpassed; with low porosity and high cohesion the acoustic velocities are not dependent on the $P_c$, and vice versa; the SYM and DYM follow similar trends; and the elastic modulus is negatively dependent on the Poisson's ratio.
The information and data obtained from this geomechanical study will be of use to model predictions involving CCS projects to avoid reaching the risks factors mentioned. An example of the lack of knowledge and understanding about rock behavior could be the induced seismicity caused by the extraction of gas from the Groningen gas field. These seismic events acted as a turning point, sparking a necessary shift in perspective and paving the way for a more informed and balanced perception of activities involving the use of the subsurface.
Regional Geology and Fracture Network Characterisation of the Southern Chotts and Jeffara Basins, Central Tunisia
Implications for Petroleum Reservoirs
Experimental analysis of passive acoustic emission, in particular the Kaiser Effect, under dynamic stress conditions
Exploring the implications for in-situ failure monitoring in underground mines
Heat Exchange in Tensile Fractures
An Experimental and Numerical Approach
Experimental findings cannot directly be compared with natural reservoir conditions. The reason for this is a thermal equilibrium that is achieved at each flow experiment, i.e., the heat withdrawn equals the heat resupplied by a heater. In natural reservoirs this is often not the case where a cold front propagates towards the production well and determines the lifetime of how long heat can efficiently be produced from a certain rock mass. This results in an unsteady heat conduction where the heat withdrawn does not equal the heat resupplied. ...
Experimental findings cannot directly be compared with natural reservoir conditions. The reason for this is a thermal equilibrium that is achieved at each flow experiment, i.e., the heat withdrawn equals the heat resupplied by a heater. In natural reservoirs this is often not the case where a cold front propagates towards the production well and determines the lifetime of how long heat can efficiently be produced from a certain rock mass. This results in an unsteady heat conduction where the heat withdrawn does not equal the heat resupplied.
Hydraulic fracturing under waterflooding conditions in unconsolidated sands
Exploring fracture creation capabilities using low viscosity injection fluids
-Plugging
-Wellbore fill
-Resorting of grains and finer particles
Plugging results from the infiltration of fines originating from the injection fluid, crossflow or drilling mud. The external and/or internal filter cake can locally reduce the permeability of the formation. During surface shut-ins, backflow and/or crossflow can occur leading to the infiltration of solid particles and fluids into the wellbore. This reduces the leak-off area of the well. Lastly, resorting of grains and finer particles can result in a denser packing of the reservoir. The dynamically mixing of particles can lead to lower permeability regions.
Research goal
The main goal of this research is to develop a better qualitative and quantitative description of the fracturing process and the impairment mechanisms causing the observed injectivity decline. This thesis comprises of the first phase of this research, focusing on the capabilities of the equipment to create and detect fractures under waterflooding conditions. What makes this research unique is the use of low viscosity fluids, to mimic field conditions. Other work often involves the use of efficient fracturing fluids that have a high viscosity and/or good filter cake building capabilities to minimalize the leak-off. Next to that, injection of fluids is performed live in a CT scanner. This allows the visualization of fractures or low-density regions through density distributions in three dimensions over time.
Equipment
Injection takes place in a high-strength aluminium vessel with a sample volume of 3.84 dm3. See images 2.1 and 2.2 of an overview of the setup and pressure vessel. Axial and radial pressure can be controlled independently up to 20 MPa. A pore fluid system records the outflow mass and provides a fluid pressure on the sample. The sample consists of a very fine, very well sorted sand with a permeability around 5 Darcy. The main injection fluids are water and Fluorinert FC-770. This is a high density, low viscosity fluid that is used to visualize the preferential flow path of the injection fluid in the CT scanner.
Results
Fractures have been successfully created using a high viscosity fluid during the first experiment. The goal of that experiment was to test the setup and the equipment. The fractures were created at an injection pressure of 38 MPa and were up to 1 cm long and 2 mm wide. Experiments 2 and 3 were performed in the CT scanner with the use of Fluorinert as the injection fluid. The infiltration zone of this fluid was clearly visible but no fractures were created. Sand infiltration in the injection tube leaded to a number of problems during the experiments. Experiments 4 and 5 added fines to the injection water. Quartz powder was used in experiment 4 and bone meal in experiment 5. The fines leaded to a gradual increase in injection pressure, but did not lead to a higher density in the CT scans. No fractures were observed but low-density regions in front of the perforations were created during both experiments as a result of backflow. Experiment 6 introduced the use of internal pressure sensors in the sample and used a sample created with two sands and Kaolinite, a non-swelling clay. During two high flowrate injection cycles, the clays migrated away from the near wellbore region, leaving behind lower density regions.
Conclusion & future work
Creating fractures with low viscosity fluids in a laboratory environment has proven to be difficult. No fractures have been created throughout the low viscosity experiments. Several impairment mechanisms that were identified in the field have also been observed in the experiments. This thesis forms a solid basis for the next research phase to investigate these impairment mechanisms more closely. By lowering the confining stresses, increasing the flow rates and decreasing the sample permeability, there is a good probability that fractures can be created with this equipment in future work.
...
-Plugging
-Wellbore fill
-Resorting of grains and finer particles
Plugging results from the infiltration of fines originating from the injection fluid, crossflow or drilling mud. The external and/or internal filter cake can locally reduce the permeability of the formation. During surface shut-ins, backflow and/or crossflow can occur leading to the infiltration of solid particles and fluids into the wellbore. This reduces the leak-off area of the well. Lastly, resorting of grains and finer particles can result in a denser packing of the reservoir. The dynamically mixing of particles can lead to lower permeability regions.
Research goal
The main goal of this research is to develop a better qualitative and quantitative description of the fracturing process and the impairment mechanisms causing the observed injectivity decline. This thesis comprises of the first phase of this research, focusing on the capabilities of the equipment to create and detect fractures under waterflooding conditions. What makes this research unique is the use of low viscosity fluids, to mimic field conditions. Other work often involves the use of efficient fracturing fluids that have a high viscosity and/or good filter cake building capabilities to minimalize the leak-off. Next to that, injection of fluids is performed live in a CT scanner. This allows the visualization of fractures or low-density regions through density distributions in three dimensions over time.
Equipment
Injection takes place in a high-strength aluminium vessel with a sample volume of 3.84 dm3. See images 2.1 and 2.2 of an overview of the setup and pressure vessel. Axial and radial pressure can be controlled independently up to 20 MPa. A pore fluid system records the outflow mass and provides a fluid pressure on the sample. The sample consists of a very fine, very well sorted sand with a permeability around 5 Darcy. The main injection fluids are water and Fluorinert FC-770. This is a high density, low viscosity fluid that is used to visualize the preferential flow path of the injection fluid in the CT scanner.
Results
Fractures have been successfully created using a high viscosity fluid during the first experiment. The goal of that experiment was to test the setup and the equipment. The fractures were created at an injection pressure of 38 MPa and were up to 1 cm long and 2 mm wide. Experiments 2 and 3 were performed in the CT scanner with the use of Fluorinert as the injection fluid. The infiltration zone of this fluid was clearly visible but no fractures were created. Sand infiltration in the injection tube leaded to a number of problems during the experiments. Experiments 4 and 5 added fines to the injection water. Quartz powder was used in experiment 4 and bone meal in experiment 5. The fines leaded to a gradual increase in injection pressure, but did not lead to a higher density in the CT scans. No fractures were observed but low-density regions in front of the perforations were created during both experiments as a result of backflow. Experiment 6 introduced the use of internal pressure sensors in the sample and used a sample created with two sands and Kaolinite, a non-swelling clay. During two high flowrate injection cycles, the clays migrated away from the near wellbore region, leaving behind lower density regions.
Conclusion & future work
Creating fractures with low viscosity fluids in a laboratory environment has proven to be difficult. No fractures have been created throughout the low viscosity experiments. Several impairment mechanisms that were identified in the field have also been observed in the experiments. This thesis forms a solid basis for the next research phase to investigate these impairment mechanisms more closely. By lowering the confining stresses, increasing the flow rates and decreasing the sample permeability, there is a good probability that fractures can be created with this equipment in future work.
Electro Facies Based Lithology and Mechanical Modeling
A Proposed Workflow and Models Linkage
The well was cored and logged extensively, providing a wide and diverse database that includes well logs, computed tomography (CT) scans, x-ray diffraction (XRD), petrography, routine core analysis (RCAL), scratch test, unconfined compression test (UCS) and triaxial compression test (TCS). These data were integrated using the disciplines of petrophysics, rock physics, geology and geomechanics, in order to analyze and build one lithology- and one mechanical- data based model that describe the Permian and Carboniferous section.
Each lithology- and mechanical- model consisted of six different facies; four sandstones and two shales facies were classified using the data and the understanding of the geological depositional model. The generated geology-reflected lithology facies model with the proposed workflow can aid into building a more reliable 3D geological model. The benefits of this methodology can be extended to assist in a more robust dynamic modeling. Additionally, the mechanical model can be used to provide granularity in previous mechanical models, not only for the reservoir, but also for the over- and under-burden. The two models (lithology- and mechanical-facies model) correlate 70% in general. ...
The well was cored and logged extensively, providing a wide and diverse database that includes well logs, computed tomography (CT) scans, x-ray diffraction (XRD), petrography, routine core analysis (RCAL), scratch test, unconfined compression test (UCS) and triaxial compression test (TCS). These data were integrated using the disciplines of petrophysics, rock physics, geology and geomechanics, in order to analyze and build one lithology- and one mechanical- data based model that describe the Permian and Carboniferous section.
Each lithology- and mechanical- model consisted of six different facies; four sandstones and two shales facies were classified using the data and the understanding of the geological depositional model. The generated geology-reflected lithology facies model with the proposed workflow can aid into building a more reliable 3D geological model. The benefits of this methodology can be extended to assist in a more robust dynamic modeling. Additionally, the mechanical model can be used to provide granularity in previous mechanical models, not only for the reservoir, but also for the over- and under-burden. The two models (lithology- and mechanical-facies model) correlate 70% in general.