Reservoir

The paper demonstrates the ability of deep-learning generative models to enable new shale-characterization methods.

A new dose of constraint may just be the best prescription for those making reserves estimates on prospective unconventional resources.

The complete paper describes a tool developed to evaluate and characterize thin beds or laminations in a mature offshore field.

The paper presents a model for shale gas production in which CO2 is injected by huff ’n’ puff into a hydraulic fracture surrounded by a shale matrix.

Statistics are important in knowing where the sharp minds of SPE members are investing their energies. Typically, this is also in proportion to what those members need. Hence, it is noteworthy that more than a fifth of the papers were about CO2-based EOR, indicating not only renewed interest but also the motivation for carbon capture, use, and storage.

This study explores pitfalls experienced when using capacitance/resistance modeling as a plug-and-play technique for waterflood optimization and discusses workarounds and mitigations to improve its reliability.

Natural gas delivered as LNG to growing economies in Asia has a strong role to play in achieving net zero in carbon emissions, and most of that gas will come from unconventional resources.

The paper provides insight into managing reserves and resource information during a merger through description of a case study.

The authors present a countrywide benchmarking of ultimate recovery factor for oil reservoirs in Kuwait.

The authors write that the deterministic incremental reserve assessment method may mislead investors if used wrongly.