The project seeks to develop an approach to monitor changes in flow, pressure, and salinity remotely within a hydraulic fracture in near real-time based on the response of an electrically active proppant (EAP) pack. The developed methods will suggest the extent of the proppant-filled fracture, formation stress state, and fluid flow, leakoff, and invasion.
Bureau of Economic Geology (BEG) at the University of Texas at Austin - Austin, TX 78759
Sub Performers
Duke University – Durham, NC 27705
University of North Carolina – Raleigh, NC 27699
Primary recovery from a hydraulically fractured tight-oil reservoir is often a small fraction of the original oil in place ranging between 5 and 10%, possibly due to the shortcomings in the hydraulic fracture designs and the associated evaluation tools. However, the current far-field fracture diagnostic techniques, such as microseismic and tiltmeter monitoring, do not adequately detect the propped area of a hydraulic fracture (HF) or the fluid displacement. Previous works done by the Advanced Energy Consortium of the Bureau of Economic Geology (BEG) resulted in a well-characterized EAP-filled fracture at the Devine field pilot site (DFPS) and a set of validated electromagnetic (EM) codes to interrogate HF extent remotely by EM surveys.
In the current work, lab studies will be carried out to characterize the impact of salinity, pressure changes, and fluid flow on the electrical conductivity of the EAP. This information, along with host rock properties, will be used as input for solvers to discern the feasibility of detecting flow, salinity, and pressure changes at the DFPS. Once sensitivity of detection has been demonstrated in Year 1, field survey work will be conducted at the DFPS to demonstrate an approach to monitor changes in flow, pressure, and salinity remotely within a hydraulic fracture in near real-time in Year 2.
This project has several significant impacts on energy production from hydraulic fracture networks and can be applied to the subsurface applications. By enabling the optimization of refracturing processes through monitoring fracture dynamics (e.g., flow, leakoff, pressure evolution, and salinity changes), this project results in more efficient production from hydraulically fractured reservoirs. The unique and comprehensive datasets collected in this study will be disseminated to the public and will lay the foundation for the advancement of additional geophysical mapping and modeling techniques. The highly instrumented and characterized EAP-filled fracture anomaly at the DFPS can be utilized as a unique asset to conduct and validate future studies related to this project.
The project team attributed the scattered electric field partly to the effect of fracture dilation (inferred from the exceedance of the BHP beyond the FCP) and salinity changes. Further, the researchers have shown a clear correlation between flow rate and electric potential differences recorded by surface electrodes. These signals can be recorded in real-time. A large mismatch was observed between the EM simulation results and field observations at the beginning of the injection cycles. The contribution of the SP to the observed electric potential differences is being investigated among the possible hypotheses to explain this mismatch. The project team is constraining the forward models by the ground truth data collected from salinity as a tracer and DAS data focused on the injection time when the maximum EM response is expected. The team will then attempt to engage the inversion model to determine the fracture shape that leads to the minimum mismatch between the simulated EM results and the field data. This project scheduled to end on December 31, 2022.
$1,721,180.00
$430,288.00
NETL – Scott Beautz (Scott.Beautz@netl.doe.gov or 918-497-8766)
University of Texas at Austin – Mohsen Ahmadian (Mohsen.ahmadian@beg.utexas.edu or 512-471-2999)