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This paper describes a revamped methodology for field-development strategy formulation, particularly for marginal hydrocarbon resources, by shifting the mindset toward designing with an aim to value in order to improve project viability.

The authors of this paper describe a suite of technologies that enables enhanced well robustness and performance modeling and monitoring of carbon storage facilities.

The authors of this paper present an advanced dual-porosity, dual-permeability (A-DPDK) work flow that leverages benefits of discrete fracture and DPDK modeling approaches.

The authors of this paper describe an approach in which all available technologies are combined to improve understanding of reservoir depositional environments.

This paper presents the proof of concept of artificial-intelligence-based well-integrity monitoring for gas lift, natural flow, and water-injector wells.

This paper adds to ongoing research in hydrogen storage, focusing on efficient extraction of hydrogen to be stored potentially in depleted unconventional formations.

In this episode and transcript, Terry Palisch is joined by Karen Olson, the SPE technical director for completions, to discuss how SPE can help us collaborate more on a global level through our technical sections.

This paper defines conditions for optimized well-diagnostics investigation and describes a rigless solutions for common well-barrier failures and lessons learned from operator field trials.

The authors of this paper present a machine-learning-based solution that predicts pertinent gas-injection studies from known fluid properties such as fluid composition and black-oil properties.

This study presents a novel approach to screen thermally stable surfactants at high pressures and high temperatures for the explicit purpose of wettability alteration in the operator’s Eagle Ford acreage.