The increasing popularity of hydraulic fracturing follows some achievements in the USA, where it has become a proven technology in the stimulation of tight reservoirs. Nevertheless, the physics behind the process are not completely understood, particularly in the domain of post fracturing fluid recovery. In many instances, the recovery of large portions of injected fracturing fluid has not been successful. In this research, the goal was to identify and evaluate the responsible factors.
The scope of our study includes determining the fate of the fracturing fluid within the reservoir, and calculating the loss in incremental production as a consequence of that outcome. The information can be used to more effectively predict the performance of stimulated wells with hydraulic fractures over time. Also, an estimation of incremental oil recovery post treatment can be calculated more accurately.
This new knowledge is beneficial to many of the participants - service provider companies will enjoy a clear understanding of the treatment; operating companies should perform more reliable economic analyses; the individual states could realize increased accuracy in the quantification of reserves; and regulatory agencies can better determine the probability of these fluids in groundwater contamination.
1. T.K. Perkins and L.R. Kern, SPE-89-PA widths of hydraulic fractures. J Pet Technol13(9), 937–949 (1961).10.2118/89-PASearch in Google Scholar
2. T. Martin and P. Valko, Hydraulic Fracture Design for Pressure Enhancement, Modern Fracturing Enhancing Natural Gas Production, Houston, Texas.Search in Google Scholar
3. R.A. Woodroof, M. Asadi, and M.N. Warren, SPE-82221-MS Monitoring fracturing fluid flowback and optimizing fracturing fluid cleanup using chemical Frac Tracer, SPE European Formation Damage Conference, 13–14 May, The Hague, Netherlands (2003).10.2118/82221-MSSearch in Google Scholar
4. http://www.corelab.com/ps/hydraulic-fracture-designSearch in Google Scholar
5. http://www.fekete.com/SAN/WebHelp/FeketeHarmony/Harmony_WebHelp/Content/HTML_Files/Reference_Material/Analysis_Method_Theory/Blasingame_Theory.htmSearch in Google Scholar
6. Q. Zhou, R. Dilmore, A.N. Kleit, and J. Yilin, SPE-173364-MS Evaluating Fracturing Fluid Flowback in Marcellus Using Data Mining Technologies.Search in Google Scholar
7. http://biomedical.materialise.com/cases/cfd-simulation-water-fl-ow-sandstone-using-micro-ctSearch in Google Scholar
8. http://www.slb.com/services/completions/stimulation/sandstone/hiway_channel_fracturing.aspx?t=2Search in Google Scholar
© 2016 Khush Desai et al., published by Sciendo
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