Presentation Title: Drilling-Induced Fractures: Operational Nuisance or Integrity Risk?
Drilling-induced fractures (DIFs) are cracks created by stress redistribution around the borehole during drilling. In a caprock this compromises integrity, posing a risk to geological carbon storage (GCS) operations. In the first part of my talk I will explore how they can be predicted using Machine Learning. Using data from two Woodford Shale wells in the US Midcontinent, I will show how we trained a simple tree-based classifier model, Extreme Gradient Boosting, to predict DIF from conventional wireline logs. We used six "conventional" logs – bulk density, shear slowness, neutron porosity, toolface azimuth, spontaneous potential, and intermediate resistivity to tune the model. We applied the frozen model applied on a third nearby well and found that several intervals were flagged with high DIF-susceptibility. In the second part, I will present results from poromechanical simulations showing how plume pressure can reactivate DIFs.
Speaker: Dr. Priyank Jaiswal
Dr. Jaiswal research interest involves sharpening the controlled-source seismology tool and exploring its multifaceted application in geology and beyond. He received his Ph.D. from Rice University in 2008 in Geophysics with an emphasis on seismic data processing and inversion. To date, his work has resulted in over USD 2M in extramural grants, 2 awarded and 3 pending patents, 4 Ph.D. and 14 master's advisees, and 75+ peer-reviewed research articles, books chapters, and conference proceedings which have earned him 700+ citations. He also serves as the founding director of a professional master's program in geosciences.
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