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In this episode, host Andrew Geary speaks with Ariel Lellouch and Tieyuan Zhu on distributed acoustic sensing (DAS), the featured special section in November's The Leading Edge. Ariel and Tieyuan highlight new developments in algorithms impacting microseismic, new findings for hydraulic fracturing, and discuss their disagreement for the current rate the geophysics industry is adopting and utilizing DAS. This is an exciting conversation on technology that has a wide range of applications for geophysics.
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Well Completion > Hydraulic Fracturing (0.77)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Production logging (0.77)
Petroleum Engineering, University of Houston, 2. Metarock Laboratories, 3. Department of Earth and Atmospheric Sciences, University of Houston) 16:00-16:30 Break and Walk to Bizzell Museum 16:30-17:30 Tour: History of Science Collections, Bizzell Memorial Library, The University of Oklahoma 17:30-19:00 Networking Reception: Thurman J. White Forum Building
- Research Report > New Finding (0.93)
- Overview (0.68)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Mineral (0.72)
- Geology > Rock Type > Sedimentary Rock > Carbonate Rock (0.68)
- (2 more...)
- Geophysics > Borehole Geophysics (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.93)
Seismic Soundoff ยท 217: Advancing Subsurface Knowledge Through Microseismic Insights (Joรซl Le Calvez) "The value is not in the measurement per se. It is in the ability to integrate this measurement with everything else that we have access to." Dr. Joรซl Le Calvez discusses January's special section in The Leading Edge on microseismic monitoring. Joรซl shares how recent technological advancements and pressing societal concerns, like climate change and sustainability, are pushing microseismic monitoring to the forefront of geophysical research. This episode will help you reflect on the next frontier in microseismic monitoring and how it will shape our understanding of the subsurface.
- Well Completion > Hydraulic Fracturing (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
DAS microseismic reflection imaging for hydraulic fracture and fault lineament characterization
Ma, Yuanyuan (Rice University) | Ajo-Franklin, Jonathan (Rice University, Lawrence Berkeley National Laboratory) | Nayak, Avinash (Lawrence Berkeley National Laboratory) | Correa, Julia (Lawrence Berkeley National Laboratory) | Kerr, Erich (SM Energy)
This study presents a novel workflow designed for migrating reflected S-waves generated by microseismic events, as recorded by downhole Distributed Acoustic Sensing (DAS), to characterize hydraulic fractures in three dimensions. In contrast to existing fracture imaging techniques, which have encountered challenges in accurately representing fracture networks and often rely on simplified models, the proposed imaging technique does not assume that fractures are planar or in a pre-specified orientation. DAS seismic measurements benefit from the large aperture and dense spatial sampling enabled by the kilometers-long fiber and, therefore are able to capture a large number of strong reflections compared to traditional borehole geophones or accelerometers. We treat microseismic events as high-frequency sources and apply prestack Kirchhoff migration to each individual source after wavefield separation. Fracture imaging results for multiple selected events are then stacked to generate a 3D reflectivity volume, revealing subsurface fracture and fault networks in intricate detail. The high-resolution fracture images generated by the developed reflection migrating process illuminate the heart of the stimulated volume of the reservoir, a zone that is often challenging to access using conventional surface arrays or active sources. To validate the effectiveness of the proposed workflow, our study employs a dataset acquired during a multi-well project in the Eagle Ford Shale and Austin Chalk in South Texas. To assess the accuracy and reliability of the results, the reflection imaging output is integrated with both microseismicity distribution and strain measurements from low-frequency DAS for interpretation. The results of reflection imaging improve our understanding of fracture geometry including distal fractures that are away from the monitoring well, allow direct estimation of fracture height and length, and potentially signify the presence of pre-existing fluid-filled fault lineaments.
- North America > United States > Texas > West Gulf Coast Tertiary Basin > Eagle Ford Shale Formation (0.89)
- North America > United States > Texas > West Gulf Coast Tertiary Basin > Austin Chalk Formation (0.89)
- North America > United States > Texas > Sabinas - Rio Grande Basin > Eagle Ford Shale Formation (0.89)
- (9 more...)
- Well Completion > Hydraulic Fracturing (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
Do not underestimate the complexity of CO2 injection behavior for full scale projects. In this SPE Tech Talk, SLB presents a high-level overview of new, integrated, machine learning solutions for seismic interpretation (horizons and faults). The field development and asset management life cycle comprise 7 stages: explore, appraise, select, define, execute, operate, and abandon. This episode will discuss the importance of using subsurface seismic data to screen and appraise carbon storage sites for the purpose of carbon capture and storage (CCS). Join this SPE Live with Professor Sid Misra and discover the transformative power of causal inferencing in subsurface engineering.
- Well Completion > Hydraulic Fracturing (1.00)
- Reservoir Description and Dynamics > Storage Reservoir Engineering > CO2 capture and sequestration (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Health, Safety, Environment & Sustainability > Environment > Climate change (0.98)
Research on focal mechanism of microseismic events and the regional stress during hydraulic fracturing at a shale play site in southwest China
Chen, Xin-Xing (Chengdu University of Technology) | Meng, Xiao-Bo (Chengdu University of Technology) | Chen, Hai-Chao (China University of Petroleum) | Chen, Xin-Yu (Chengdu University of Technology) | Li, Qiu-Yu (Optical Science and Technology (Chengdu) Ltd.) | Guo, Ming-Yu (Chengdu University of Technology)
ABSTRACT We develop a waveform-matching inversion method to determine the focal mechanism of microseismic events recorded by a single-well observation system. Our method uses the crosscorrelation technique to mitigate the influence of anisotropy on the S wave. Then, by conducting a grid search for strike, dip, and rake, we match the observed waveforms of P and S wave with the corresponding theoretical waveforms. A synthetic test demonstrates the robustness and accuracy of our method in resolving the focal mechanism of microseismic events under a single-well observation system. By applying our method to the events that have been categorized into two clusters based on spatial and temporal evolution recorded during the hydraulic fracturing operation in the Weiyuan shale reservoir, we observe that the two clusters have distinct focal mechanism and stress characteristics. The events in the remote cluster (cluster A) exhibit consistent focal mechanisms, with a concentrated distribution of P-axis orientations. The inverted maximum principal stress direction of cluster A aligns with the local maximum principal stress direction (). This implies that events in cluster A occur in a uniform stress condition. In contrast, the other cluster (cluster B) near the injection well exhibits significant variation in focal mechanisms, with a scattered distribution of P-axis orientations. The inverted maximum principal stress direction deviates from local maximum principal stress direction (), indicating that events in cluster B occur in a more complicated stress condition.
- North America > Canada > Alberta (0.47)
- North America > United States > Texas (0.47)
- Asia > China > Sichuan Province (0.29)
- Geology > Geological Subdiscipline > Geomechanics (0.94)
- Geology > Structural Geology > Tectonics > Plate Tectonics > Earthquake (0.70)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Mudrock > Shale (0.68)
- Geology > Petroleum Play Type > Unconventional Play > Shale Play (0.50)
- North America > United States > Texas > Fort Worth Basin > Barnett Shale Formation (0.99)
- North America > Canada > Alberta > Western Canada Sedimentary Basin > Alberta Basin > Deep Basin > West Pembina Field (0.99)
- North America > Canada > Alberta > Western Canada Sedimentary Basin > Alberta Basin > Deep Basin > Pembina Field > Viking Formation (0.99)
- (2 more...)
- Well Completion > Hydraulic Fracturing (1.00)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
This topic outlines the seven common types of unconventionals. It identifies the twelve desired characteristics of productive shale gas formations and outlines the impact of unconventional drilling on shale gas resources. The process of hydraulic fracture stimulation is described. The potential for seismic to help in the search for shale reservoirs is explained. Important mechanical rock properties for reservoir engineers that help with reservoir characterization are listed. The three seismic attributes that are useful for identifying optimal drilling locations are identified, and how these attributes are derived from the direct seismic is explained.
- Well Completion > Hydraulic Fracturing (1.00)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs > Shale gas (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
This course introduces the basics of using microseismic surveys to study hydrocarbon reservoirs. A microseismic survey is a 3D technology used to monitor subsurface processes by analyzing microearthquakes. Microearthquakes occur when production, injection or hydraulic fracturing cause changes in the pore pressure of a hydrocarbon reservoir that trigger slippage on bedding planes or fractures. The course begins with basic topics required to understand microseismic events and then discusses applications of microseismic surveys. Among the applications are monitoring fracture stimulation operations and relating production to microseismic data.
- Well Completion > Hydraulic Fracturing (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
This study aimed to optimize hydrocarbon production from the naturally fractured reservoirs in the VMM-1 gas field by identifying and interpreting the fault and fracture systems. To achieve this, deep learning fault segmentation was integrated with HTI analysis and ambient microseismic recording. The fault pattern was studied using deep learning fault segmentation, while HTI analysis highlighted the magnitude and distribution of fractures. Ambient microseismic recording was used to identify active faults and fractures. By integrating these three methods, we were able to understand the direction, density, and effectiveness of the various fracture systems, as well as the lateral extent and continuity of the Rosa Blanca Formation. This integration of methods was essential in maximizing ultimate recovery and economic success and has potential applications in the development of other naturally fractured reservoirs.
- Europe (1.00)
- Asia > China (1.00)
- Asia > Middle East (0.67)
- (2 more...)
- Phanerozoic > Cenozoic > Neogene (0.68)
- Phanerozoic > Mesozoic > Jurassic (0.68)
- Geology > Structural Geology > Tectonics > Plate Tectonics (1.00)
- Geology > Structural Geology > Tectonics > Compressional Tectonics > Fold and Thrust Belt (1.00)
- Geology > Structural Geology > Fault > Dip-Slip Fault (1.00)
- (3 more...)
- Well Completion > Hydraulic Fracturing (1.00)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs > Naturally-fractured reservoirs (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- Data Science & Engineering Analytics > Information Management and Systems > Neural networks (1.00)
- North America > United States > Texas (1.00)
- Europe (0.93)
- Research Report > New Finding (0.93)
- Overview (0.88)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Rock Type > Sedimentary Rock > Carbonate Rock (0.68)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Sandstone (0.47)
- Geophysics > Borehole Geophysics (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.93)