Validation of the Utility of the Contrast-Agent-Assisted Electromagnetic Tomography Method for Precise Imaging of a Hydraulically Induced Fracture Network
- Mohsen Ahmadian (Advanced Energy Consortium, Bureau of Economic Geology, The University of Texas at Austin) | Douglas LaBrecque (Multi-Phase Technologies, LLC) | Qing Huo Liu (Duke University) | Alfred Kleinhammes (The University of North Carolina) | Patrick Doyle (The University of North Carolina) | Yuan Fang (Duke University) | Paine Jeffrey G (The University of Texas at Austin) | Costard Lucie (The University of Texas at Austin)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 30 September - 2 October, Calgary, Alberta, Canada
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- Electromagenetic Contrast Agent, Validation, ERT, Fracture Mapping, Stimulated Reservior Volume
- 1 in the last 30 days
- 250 since 2007
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Characterizing hydraulically induced fractures—height, length, orientation, and shape—is key to understanding reservoir performance. Our previous work has focused on the comparison of the state-of-the-art geophysical techniques currently used in hydraulic fracture imaging (microseismicity, tracer, tiltmeter, and distributed acoustic and temperature sensors) to perform a comprehensive set of electromagnetically active proppant (EAP)–assisted tomography methods (LaBrecque et al., 2016; Ahmadian et al., 2018). In our latest study, we conducted a field pilot at The University of Texas at Austin Bureau of Economic Geology's Devine Test Site, located approximately 50 miles southwest of San Antonio, Texas. Following hydraulic fracturing with EAP, we detected a measurable electromagnetic (EM) fracture anomaly at a depth of 175 ft (~53 m) by use of a set of four PVC-cased wells equipped with electrode arrays for single hole, hole-to-surface, and cross-hole electrical resistivity tomography. Because of relatively low overburden pressure, and as designed, fractures grew horizontally and appear nonaxisymmetric about the center injection well (fracture image looks like a human foot). This design allowed us to verify our results with drilling and logging of eight vertical wells. In addition, we cored two wells, and these samples further corroborated the presence of EAP proppants at the predicted depth. Together, these results conclusively corroborate the accuracy of our EM inversion models to within 5 ft of the physical edge of the EAP-filled fracture anomaly. We are currently using results from our ongoing geophysical surveys to refine and verify the efficiency of forward and inverse EM modeling codes for open-borehole and through steel casing scenarios. This paper describes the ground-truth validation of our model predictions, as well as the future direction of our research.
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Ahmadian, M.,LaBrecque, D.,Liu, Q. H.. 2018. Demonstration of Proof of Concept of Electromagnetic Geophysical Methods for High Resolution Illumination of Induced Fracture Networks. Presented at the SPE Hydraulic Fracturing Technology Conference and Exhibition, The Woodlands, Texas, USA, 23–25 January. SPE-189858-MS. https://doi.org/10.2118/189858-MS.
Cipolla, C. L.,Lolon, E.,Mayerhofer, M. J.. 2009. The Effect of Proppant Distribution and Un-Propped Fracture Conductivity on Well Performance in Unconventional Gas Reservoirs. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, USA, 19–21 January. SPE-119368-MS. https://doi.org/10.2118/119368-MS.
Cipolla, C. L and Wright, C. A. 2000. State-of-the-Art in Hydraulic Fracture Diagnostics. Presented at the SPE Asia Pacific Oil and Gas Conference and Exhibition. Brisbane, Australia, 16–18 October. SPE-64434-MS. https://doi.org/10.2118/64434-MS.
Fang, Y.,Dai, J.,Yu, Z.. 2017. Through-Casing Hydraulic Fracture Evaluation by Induction Logging I: An Efficient EM Solver for Fracture Detection. IEEE Transactions on Geoscience and Remote Sensing 55 (2). 1179–1188. https://doi.org/10.1109/TGRS.2016.2620482.
Fang, Y.,Zhou, J.,Yu, Z.. 2015. Application of BCGS-FFT and Distorted Born Approximation for Hydraulic Fracturing Detection and Imaging. Presented at the USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), Vancouver, British Columbia, Canada, 19–24 July. https://doi.org/0.1109/USNC-URSI.2015.7303557.
Grechka, V.,Li, Z.,Howell, B.. 2018. Microseismic Imaging of Unconventional Reservoirs. SEG18 Expanded Abstracts 2018 Technical Program. 3007–3011. https://doi.org/10.1190/segam2018-2995627.1.
Hall, S. A. and Kendall, J.-M. 2003. Fracture Characterization at Valhall: Application of P-Wave Amplitude Variation with Offset and Azimuth (AVOA) Analysis to a 3D Ocean-Bottom Data Set. Geophysics 68 (4). 1150–1160. https://doi.org/10.1190/1.1598107.
LaBrecque, D.,Brigham, R.,Denison, J.. 2016. Remote Imaging of Proppants in Hydraulic Fracture Networks Using Electromagnetic Methods: Results of Small-Scale Field Experiments. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, USA, 9–11 February. SPE-179170-MS. https://doi.org/10.2118/179170-MS.
LaBrecque, D. J.,Owen, E.,Dailey, W.. 1992. Noise and Occam's Inversion of Resistivity Tomography Data. SEG Technical Program Expanded Abstracts 1992. 397–400. https://doi.org/10.1190/1.1822100.
Palisch, T.,Al-Tailji, W.,Bartel, L.. 2016. Recent Advancements in Far-Field Proppant Detection. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, USA, 9–11 February. SPE-179161-MS. https://doi.org/10.2118/179161-MS.
Palisch, T.,Al-Tailji, W.,Bartel, L.. 2017. Far-Field Proppant Detection Using Electromagnetic Methods-Latest Field Results. Presented at the SPE Hydraulic Fracturing Technology Conference and Exhibition, The Woodlands, Texas, USA, 24–26 January. SPE-184880-MS. https://doi.org/10.2118/184880-MS.
Sayers, C. M. 2009. Seismic Characterization of Reservoirs Containing Multiple Fracture Sets. Geophysical Prospecting 57 (2). 187–192. https://doi.org/10.1111/j.1365-2478.2008.00766.x.
Sturzu, I.,Popovici, A. M.,Moser, T. J.. 2015. Diffraction Imaging in Fractured Carbonates and Unconventional Shales. Interpretation 3 (1). SF69–SF79. https://doi.org/10.1190/INT-2014-0080.1.
Tyiasning, S.,Merzlikin, D.,Cooke, D.. 2016. A Comparison of Diffraction Imaging to Incoherence and Curvature. The Leading Edge 35 (1). 86–89. https://doi.org/10.1190/tle35010086.1.
Wong, J. 1979. An Electrochemical Model of the Induced-Polarization Phenomenon in Disseminated Sulfide Ores. Geophysics 44 (7). 1245–1265. https://doi.org/10.1190/1.1441005.
Yu, Z.,Zhou, J.,Fang, Y.. 2017. Through-Casing Hydraulic Fracture Evaluation by Induction Logging II: The Inversion Algorithm and Experimental Validations. IEEE Transactions on Geoscience and Remote Sensing 55 (2). 1189–1198. https://doi.org/10.1109/TGRS.2016.2621002.