Reservoir
Industry experts at URTeC assessed more than a decade of unconventional growth while discussing where productivity gains will come from next.
The technology has passed its first phase of qualification, with 84 nodes placed on the seafloor at a depth of 2,000 m to acquire 4D seismic data in the pre-salt Santos Basin.
Chevron and Halliburton describe how they built and deployed the fully autonomous closed-loop fracturing system that enables subsurface-driven optimization.
-
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.
-
SponsoredMake the most of your time and investment by using innovative, cloud-based software to maximize existing data, better define subsurface assets, and create an accurate earth-scale model.
-
As the discovery rate of new hydrocarbon resources decreases, the need for more-efficient enhanced-oil-recovery processes increases. Unlike in the past, however, when the efficiency was defined in terms of maximizing the recovery factor (RF), the new interpretation of efficiency is based on optimizing the balance between RF and the reduction of carbon footprint.
-
This paper reveals the potential of an in-situ generated gel system designed with a bionanoparticle that has tunable strength and gelation reversibility in porous media for underground applications.
-
The newly formed SPE Hydraulic Fracturing Technical Section is working on a project to identify a set of best practices for completions engineers. Once completed, they will be accessible to the entire SPE technical community.
-
Mixing dry polymer powder and water to make friction reducer as needed during fracturing can cut the cost of the additive and the testing of whether a drastically simplified recipe performs as well as more-complex mixes.
-
This paper analyzes several configurations of convolutional neural networks suited for predicting upscaled fracture permeabilities and shape factors required to close a dual porosity/dual permeability model.
-
The authors write that simple and straightforward observations on outcrops can be used to build 3D models that mimic geological relationships accurately.
