Reservoir
Latest 5-year assessment puts undiscovered technically recoverable gas resources on the US Outer Continental Shelf at 218 Tcf.
Sponsored
Unwanted water production can erode well performance and asset economics if left unmanaged. Interwell’s precision water shutoff approach, grounded in diagnostics and engineered isolation, helps operators identify water-entry points, protect hydrocarbon flow, and restore sustainable well performance in mature and complex wells.
More than 150 researchers will work on the Libra Rocks project, which aims to unlock insights that could improve recovery and reservoir management in one of Brazil’s largest offshore oil fields.
-
The US onshore business is looking flat at the moment, though these sorts of predictions are prone to sudden shifts. -
SponsoredIn a partnership with the American Institute of Formation Evaluation, TGS is now the only US data vendor offering report-sourced drillstem tests, available through TGS Well Data Analytics.
-
Dos Caminos joint venture additions will be capable of delivering 2.0 Bcf/D of natural gas.
-
Private-equity producer adds over 160,000 acres in Wyoming’s Powder River Basin oil play.
-
This paper describes a work flow that integrates data analysis, machine learning, and artificial intelligence to unlock the potential of large relative permeability databases.
-
As the demand for energy continues to increase, so does the sociopolitical demand that these resources be produced in a sustainable way. This reflective thought has defined this month’s selection of technical papers, each speaking to a different facet of this feature’s theme: unconventional reservoir development for a sustainable energy transition.
-
This paper describes natural fractures and their effect on hydrocarbon productivity in the Vaca Muerta shale formation.
-
The objective of this study was to establish an efficient optimization work flow to improve vertical and areal sweep in a sour-gas injection operation, thereby maximizing recovery under operation constraints.
-
The objective of this paper is to present a fundamentals-based model of three-phase flow consistent with observation that avoids the pitfalls of conventional models such as Stone II or Baker’s three-phase permeability models.
-
The authors of this paper describe a solution using machine-learning techniques to predict sandstone distribution and, to some extent, automate the process of optimizing well placement.
