The goal of this two-year research project is to utilize a pressure/salinity responsive electrically active proppant (EAP) to characterize hydrogeological response of fracture network in simulated production conditions. The project seeks to develop an approach to remotely monitor changes in pressure and/or salinity within the fractured network in near real time. The methods developed and demonstrated during this study will lead to a better understanding of the extent of proppant-filled fracture networks, formation stress states, fluid leakoff and invasion, and characterizations of engineered fracture systems.
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
Hydraulic Fracturing (HF) has evolved to a sophisticated multistep process with varying flow rates, carrier fluids (e.g., gel or slick water), proppant loadings, and proppant grain sizes. Primary oil recovery from a hydraulically fractured reservoir is often a small fraction of the original oil in place ranging between 5 and 10% from tight unconventional reservoirs. As stated in the FOA1990: “Part of this problem is due to the inability of current well completion processes to effectively stimulate the entire reservoir volume in contact with the wellbore. Innovative technologies are needed that can help improve the effectiveness of reservoir completion methods, maximize stimulated reservoir volumes, and optimize recovery over the entire producing life span of a well”. To improve a well completion design, we first need to enhance the current fracture diagnostic techniques. However, detecting and delineating a subsurface hydraulic fracture is extremely difficult because the induced fracture network is only fractionally propped, and these propped fractures are generally very thin. Current diagnostic tools such as microseismic and tiltmeter monitoring can provide information on fracture extent but provide little or no information on the movement and final distribution of proppant or production fluids.
Previous works at the Bureau of Economic Geology (BEG), have resulted in a set of validated electromagnetic (EM) codes to interrogate HF extent remotely by EM geophysics. Based on these results, an updated multiscale, multimode forward and inversion approach will be developed. Lab studies will be carried out to characterize the impact of salinity and pressure changes and fluid flow on the electrical conductivity of an EAP pack. This information along with host rock properties will be used as input for solvers to discern feasibility of detection of salinity and pressure changes and will inform design of optimal EM survey configurations for successful demonstration of the concept. Once sensitivity of detection has been demonstrated in Year 1, field survey work will be conducted at the BEG’s Devine Field Pilot Site (DFPS) 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.
We attempt to demonstrate the applicability of an EAP pack in mapping hydraulic-fracture reopening or fluid diffusion through a hydraulic fracture. For this purpose, in the second field deployment in January 2022, we conducted multiple experiments at the DFPS consisting of freshwater and saltwater slug injections while running electrical surveys. Simultaneously, we collected bottomhole pressure and salinity, the injection rate and surface pressure using high-precision data loggers, DSS data in various monitoring wells, and tiltmeter data on the survey area. We are now focused on analyzing the collected EM data by reviewing changes in the surface electric field amplitude and phase in conjunction with the injection rate, and bottomhole pressure and salinity profiles. We are also developing EM inversion models and evaluating their performance in predicting the sensitivity of the electric field to water injection and fracture dilation at 175 ft depth.
$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)