Reservoir geophysical monitoring supported by artificial general intelligence and Q-Learning
for oil production optimization Page 1 AIMS Geosciences, 10(3): 641–661. DOI: 10.3934/geosci.2024033 …

In oil and gas production, developing bottom-water reservoirs with active aquifer requires
production strategy that can handle production-rate-sensitive phenomenon–water coning …

以渤海Q 油田为例, 针对渤海河流相油藏改善提液措施效果, 统计Q 油田近5
年油井的提液措施效果. 从静态, 动态两方面分析油井提液的敏感性, 总结油井提液措施效果在 …

Oil production from bottom-water drive reservoirs is characterized by water production
related problem-water coning. Most times, horizontal wells are used to attenuate this …

Sand production is a significant issue in oil and gas fields with poorly consolidated
formations, often involving the multiphase flow of reservoir fluids and solid particles. The …

Numerical reservoir simulation studies can be used to plan water injection projects to delay
time and maximize oil recovery at water breakthrough which is time-consuming and …

Compared with ordinary polyacrylamide, acrylamide copolymer of acryloyloxyethyl
trimethylammonium chloride (AM/DAC) hydrogel is easier to reside in large pores and …

Reservoir prescriptive management combining electric resistivity tomography and machine
learning Page 1 AIMS Geosciences, 7(2): 138–161. DOI: 10.3934/geosci.2021009 Received …

The porous media equation is a nonlinear partially differential equation (PDE) that is
extensively applied in industries. One such case is regarding the water coning problem in oil …

Water-flooding reservoirs often face challenges such as low remaining geological reserves
and high production costs during the high water cut stage. Well pattern thinning presents a …