"To improve the oil recovery of mature reservoirs, technologies referring to conformance control have been widely developed and implemented. Among various technologies, preformed particle gel (PPG) treatment has attracted increasing attentions. PPGs, as a kind of deformable plyometric superabsorbent, could be pumped through injection wells as plugging agents to block the fracture or high-permeability zone in a reservoir.
In decade usage of PPGs, an intensively employed material is poly(acrylamide) (PAM) based hydrogel. However, conventional PAM gel did reveal deficient in formidable conditions, such as formations with high temperature and high salinity. Therefore, a novel PPG based on starch-grafting-poly(acrylamide)/nano-composite (SAC) hydrogel has been designed and successfully synthesized. Starch was utilized to improve viscoelasticity thereby facilitate particles' retention in fractures. Nano-clay was introduced to promote not only gel's strength but also its thermal stability. Optimization of components and analysis of environmental sensitivity were conducted via investigating gel swelling ratio and rheological property in which gel's viscoelasticity was quantified through HAAKE Rhescope1 rheometer. Core-flooding tests were performed using fractured sandstone core as physical simulation models to study the plugging performance of SAC gels in fracture media.
According to experimental results, SAC gel was turned out an overwhelming PPG material compared with conventional PAM gel"--Abstract, page iii.
Flori, Ralph E.
Geosciences and Geological and Petroleum Engineering
M.S. in Petroleum Engineering
United States. Department of Energy
Occidental Petroleum Corporation
Daqing Wantong Chemical Plant
Missouri University of Science and Technology
xi, 78 pages
© 2016 Yifu Long
Thesis - Open Access
Permeability -- Testing
Enhanced oil recovery -- Computer simulation
Oil fields -- Production methods
Particle size determination
Electronic OCLC #
Long, Yifu, "Study and development of robust preformed particle gels for conformance control" (2016). Masters Theses. 7608.