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Traditionally, wireline or logging-while-drilling formation-testing technology has been the most accepted means of reservoir fluid characterization. But when those fluids are contaminated by mud filtrate, acoustic data can be used for fluid characterization during downhole sampling to successfully track and quantify small changes in oil compressibility.

This paper presents a comprehensive comparison of two modeling-based approaches of fluid tracking for condensate allocation and gas usage.

The outcome of the authors’ experiments revealed that the tertiary injection of nanoparticles results in additional oil recovery beyond the limit of low-salinity water.

This paper describes a technique used to derive stresses for a gas-storage field and then calibrate the 1D mechanical earth model of the field.

The authors report that nanopolysilicon can be used effectively as a depressurizing, injection-increasing agent.

The company’s 2021 Energy Transition Outlook says the Earth likely will miss the 2°C goal of the Paris Agreement and the window to get back on track is closing rapidly.

This paper describes an artificial intelligence deep Q network for field-development plan optimization.

After more than 2 decades of talk, multiple millions of dollars in investments, and a decade’s worth of joint industry projects, operators are starting to get on board with electrification as the base case for subsea solutions.

In this paper, the authors describe a model that uses augmented artificial intelligence to optimize well spacing by use of data sculpting, domain and feature engineering, and machine learning.

A well-pattern-design work flow proved able to identify substantially better patterns than the traditional approach for a giant mature field.

The president of Grupo Energía Bogotá, Juan Ricardo Ortega, talks about the challenges of energy transition and environmental protection.

The wells that were taken off line as a result of the blaze had been producing 421,000 B/D of oil.