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The strength and conductivity of proppant packs are key parameters for assessing their performance. This paper introduces a new analysis technique based on interpretation of acoustic measurements to quantify mechanical damage in propping agents.

There is no doubt that horizontal and complex-geometry wells have contributed significantly to the reliable supply of affordable energy, resulting in improvements to the quality of life of people around the globe.

As economic considerations become increasingly important and the price of oil commands decisions in relation to facilities adaptation to cater to new production schemes, it is important to know the new field development trends, grounded on integration and technology.

This paper presents experimental research in which a significant fracture-pressure increase was achieved in shale and the predominant wellbore strenghtening mechanism was identified.

Vimlesh Bavadiya is leading a team of engineering students at the University of Oklahoma (OU) to repeat its victory in SPE’s Drillbotics competition next year.

The big data approach will allow new types of data-driven models to bypass traditional bottlenecks. It is also expected to lead to different views of standard models, thus providing new and valuable insights in the process.

Autonomous underwater vehicles (AUVs) have demonstrated their capabilities during the search for Malaysian Airlines flight 370 in the Indian Ocean.

Reservoir-simulation-model inputs are numerous, and uncertainty is pervasive—before, during, and after development. With the pressure to deliver results quickly, how do we find the right balance?

Data-driven, or top-down, modeling uses machine learning and data mining to develop reservoir models based on measurements, rather than solutions of governing equations.

Tiny bubbles, called nanobubbles, are the focal point of a new innovation aimed at transforming produced water from a costly byproduct into a valuable asset.