Well Pattern and Well Spacing Optimization of Large Volume Water Injection in a Low‐Permeability Reservoir with Pressure Sensitivity
J Zhan, Y Tian, C Fan, X Ma, RS Nie, D Ji, T Li… - Geofluids, 2022 - Wiley Online Library
Even with the fractured wells, the primary oil recovery of low‐permeability reservoirs is still
poor in Block X of Shengli Oilfield. To further enhance the oil recovery, water is injected into …
poor in Block X of Shengli Oilfield. To further enhance the oil recovery, water is injected into …
[HTML][HTML] Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy
O Olabode, CE Nnorom, S Ajagunna, K Awelewa… - Data in Brief, 2022 - Elsevier
Oil rim reservoirs with very large gas caps, strong aquifers, and pay thickness below 30 ft.
pose oil production challenges to operators. With best operational practices, very high gas …
pose oil production challenges to operators. With best operational practices, very high gas …
[HTML][HTML] Simulation studies on optimizing oil productivity in oil rim reservoirs under gas cap blow down production strategy
O Olabode, P Adewunmi, O Uzodinma, G Famurewa… - Petroleum, 2023 - Elsevier
Gas cap blow down strategy is normally deployed for Ultra-thin oil rim reservoirs with huge
gas caps due to extremely high gas oil ratios from wells in such reservoirs. The current state …
gas caps due to extremely high gas oil ratios from wells in such reservoirs. The current state …
Candidate wells selection and ranking based on data mining and multi-criteria decision analysis techniques
Different well productivity methodologies have been used by oil companies to improve oil
recovery from mature fields. The candidate wells selection and ranking is one of the critical …
recovery from mature fields. The candidate wells selection and ranking is one of the critical …
[PDF][PDF] Development of data-driven based reservoir models for field development by employing deep learning model
イスカンダルウトモプラタマ - 2022 - waseda.repo.nii.ac.jp
Deep learning, a subset of AI and a data-driven algorithm based on artificial neural networks
(ANNs), has been applied to solve various oil and gas industry problems, especially …
(ANNs), has been applied to solve various oil and gas industry problems, especially …
[PDF][PDF] A data-driven approach for optimizing horizontal well placement in thin oil rim reservoirs using deep learning
UP Iskandar, K Abe, M Kurihara - Journal of the Japanese …, 2022 - researchgate.net
It is challenging to develop thin oil rim reservoirs economically using conventional wells.
Horizontal wells are now widely used to overcome the shortcomings of vertical wells. The …
Horizontal wells are now widely used to overcome the shortcomings of vertical wells. The …