This paper presents a fundamental research study with the main objective of building a mechanistic numerical model that captures the important mechanisms of polymer flooding through various mechanistic equations using a combined reservoir flow and geochemical numerical simulator.

US shale producers have stepped up their use of simultaneous fracturing techniques to cut costs and accelerate well delivery.

Global majors remain committed to boosting investment in Egypt’s offshore gas production as they eye Cairo’s underutilized LNG capacity.

Natural gas-powered electric fleets look to pave the way for the next generation of power generation.

Field examples from the Bakken Shale and Permian Basin illustrate the benefits of deploying polymer-coated and uncoated scale inhibitors in unconventional wells.

New strategies for protecting metal infrastructure emerge as operators fine-tune a corrosion threat screening process and develop a new method for tracking inhibitor effectiveness.

This paper highlights nontraditional methods to cure oil-based-mud losses in horizontal wells drilled in unconventional plays.

The authors of this paper describe reservoir-fluid-geodynamics processes that explain the reasons behind varying oil compositions and properties within and across different reservoir compartments.

Interfacial tension keeps oil and water separate by resisting the mixing of their molecules at the surface. Learn how industry experts measure this force to diagnose fluid behavior.

The SPE Reservoir Advisory Committee has updated its "state of the reservoir technical discipline" document. The new edition is available for free download.

The operator’s deepwater discovery in the Gulf of Mexico is potentially commercial, and government analysis indicates the gulf holds 1.3 billion BOE more reserves than estimated.

The test marks a milestone in the Poseidon CCS project, which aims to store carbon dioxide in the depleted gas reservoir below the Leman development in the southern North Sea.

The company credited its theory of shale oil enrichment for the significant increase in the quantity of proven reserves at the field.

In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems.

This work investigates the root cause of strong oil/water emulsion and if sludge formation is occurring within the reservoir using a robust integrated approach.

This study presents a production-optimization method that uses a deep-learning-based proxy model for the prediction of state variables and well outputs to solve nonlinearly constrained optimization with geological uncertainty.

In this work, a perturbed-chain statistical associating fluid theory equation of state has been developed to characterize heavy-oil-associated systems containing polar components and nonpolar components with respect to phase behavior and physical properties.

The paper describes a parameter inversion of reservoirs based on featured points, using a semi-iterative well-test-curve-matching approach that addresses problems of imbalanced inversion accuracy and efficiency.

This paper aims to present thoroughly the application of subsurface safety injection valves in extremely high-temperature environments.

These three papers leverage machine learning and hybrid methods to tackle challenges in forecasting, optimization, and reservoir characterization.