S005
Characterizing Fractures with Seismic Data: Theory, Methodology, Application
Session ID#: 76496
Session Description:
Seismic data is commonly adopted to interpret macro-scale geological features such as faults and folds. However, meso-scale and micro-scale features such as fractures are challenging to capture using the traditional seismic attributes due to the limitation in seismic resolution, subvertical/vertical fracture orientations, and minimal displacement along the fracture. Reliable interpretations and predictions of fracture networks in subsurface have significant meanings in deciphering fault mechanism, mapping local stress field, and characterizing subsurface reservoir.
In this session, we welcome submissions that take quantitative approaches to characterizing meso/micro-scale subsurface fractures with seismic data. The topics may be including but not limited to: (1) advances in workflows of seismic acquisition, processing, and interpretation to characterize fracture networks; (2) development of fracture indicators such as seismic anisotropy, attenuation, etc.; (3) applications of big data and machine learning in fracture modeling with multidisciplinary data.
Index Terms:
7230 Seismicity and tectonics [SEISMOLOGY]
7260 Theory [SEISMOLOGY]
8010 Fractures and faults [STRUCTURAL GEOLOGY]
Primary Convener: Jing Zhang, University of Oklahoma Norman Campus, Geology and Geophysics, Norman, OK, United States
Conveners: Jianjun Li, University of Oklahoma Norman Campus, Geology and Geophysics, Norman, OK, United States, Rajesh Goteti, Aramco Services Company, Houston, TX, United States and Fangyu Li, University of Georgia, College of Engineering, Athens, GA, United States
Primary Liaison: Jing Zhang, University of Oklahoma Norman Campus, Geology and Geophysics, Norman, OK, United States
Time-Lapse Seismic Imaging of Hydraulic Fracturing at Sanford Underground Research Facility Using Continuous Active Source Seismic Monitoring (560697)
Colton Medler1, Jonathan Blair Ajo-Franklin2 and William Roggenthen1, (1)South Dakota School of Mines and Technology, Rapid City, SD, United States, (2)Rice University, Earth, Environmental and Planetary Sciences Department, Houston, TX, United States
Seismological Evidence for a Deep-Seated Shear Zone and its Implication for Crustal Rheology near Beijing, China (571475)
David A Yuen1, Yibing Dong2, Li He3 and Wang Yixi3, (1)China University of Geosciences Wuhan, School of Computer Science, Wuhan, China, (2)Hebei University of Economics and Business, Shijiazhuang, China, (3)Earthquake Administration of Tianjin Municipality, Tianjin, China
Crustal Structure of the Caucasus (579087)
Tea Godoladze1, Eric A Sandvol2, Nino Tumanova3, Tinatin Rostomashvili4, Albert Buzaladze3, John Nabelek5, Irakli Gunia3, Michael Gunnels6 and Rengin Gok7, (1)Ilia State University, Institute of Earth Sciences and National Siesmic Monitoring Centre, Tbilisi, Georgia, (2)University of Missouri , Columbia, Columbia, MO, United States, (3)Ilia State University, Institute of Earth Sciences and NSMC, Tbilisi, Georgia, (4)Ilia State University, Tbilisi, Georgia, (5)Oregon State University, CEOAS, Corvallis, OR, United States, (6)University of Missouri Columbia, Columbia, MO, United States, (7)LLNL, Livermore, CA, United States
Relocating Javakheti Highland seismicity using HypoDD (579108)
Albert Buzaladze1, Nino Tumanova2, Tea Godoladze3, Eric A Sandvol4, Michael Gunnels5 and Irakli Gunia1, (1)Ilia State University, Institute of Earth Sciences and NSMC, Tbilisi, Georgia, (2)Ilia State University, Institute of Earth Sciences and National Seismic Monitoring Center, Tbilisi, Georgia, (3)Ilia State University, Institute of Earth Sciences and National Siesmic Monitoring Centre, Tbilisi, Georgia, (4)University of Missouri , Columbia, Columbia, MO, United States, (5)University of Missouri Columbia, Columbia, MO, United States
Subsurface faults, fractures in 3D seismics: Constraining in-situ stresses in the eastern Mediterranean (588317)
Moshe Politi, Hebrew University of Jerusalem, Jerusalem, Israel, Ze'ev Reches, Univ Oklahoma, School of Geosciences, Norman, OK, United States and Amotz Agnon, Hebrew University, Institute of Earth Sciences, Jerusalem, Israel
Predict fracture density using deep learning: application to the Mississippian Limestone (592718)
Xuan Qi1, Fangyu Li2, Kurt J. Marfurt1 and Chao Wang3, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)University of Georgia, College of Engineering, Athens, GA, United States, (3)Petuum, Inc, Sunnyvale, CA, United States
Analysis of a Repeat Crosswell Tomography Dataset with Microseismic for Fracture and Fluid Placement by Hydraulic Fracturing (601414)
David Rampton1,2, Thomas M Daley3, Robert M. Dilmore2 and Richard w. Hammack4, (1)Carnegie Mellon University, Pittsburgh, PA, United States, (2)National Energy Technology Laboratory Pittsburgh, Pittsburgh, PA, United States, (3)Lawrence Berkeley Lab, Berkeley, CA, United States, (4)U.S Department of Energy, National Energy Technology Laboratory, Geological and Environmental Sciences, Pittsburgh, PA, United States
Structural and Stratigraphic Controls on Reservoir Quality and Distribution of the Oligocene Vicksburg formation, Brooks County, Texas. (616941)
Ryan Lewis Turner, Texas A&M University Corpus Christi, Physical and Environmental Sciences, Corpus Christi, TX, United States and Mohamed Ahmed, Texas A&M University-Corpus Christi, Department of Physical and Environmental Sciences, Corpus Christi, TX, United States
Seismic interpretation of late Quaternary sediments of the Esquimalt Lagoon, southern Vancouver Island, British Columbia, Canada (620136)
Naimeh Riazi1, Rachel M Lauer2, Thomas Gallagher3 and Donald Caleb Lawton1, (1)University of Calgary, Calgary, AB, Canada, (2)Rachel Lauer, Calgary, AB, Canada, (3)University of Calgary, Calgary, Canada
