shale

A case study presented at ATCE took medical science to a new low—into the depths of the Permian Basin for application to downhole reservoir drainage diagnostics.

The authors of this paper analyze a robust, well-distributed parent/child well data set using a combination of available empirical data and numerical simulation outputs to develop a predictive machine-learning model.

This paper summarizes a collaborative industry study to compare observations between shale-play data sets and basins, develop general insights into parent/child interactions, and provide customized economic optimization recommendations.

In this paper, example machine-learning models were trained using geologic, completion, and spacing parameters to predict production across the primary developed formations within the Midland Basin.

The transaction will add significant high-quality inventory offset to Permian Resources’ existing core acreage in New Mexico.

This paper proposes a data-driven proxy model to effectively forecast the production of horizontal wells with complex fracture networks in shales.

A dissolvable collet field tested in an unconventional completion led to an average running time of 32 minutes per stage in a vertical section and 19 minutes per stage in the horizontal section.

Eagle Ford sees ‘surprising resurgence’ as buyers look to secure the play’s mature assets.

The independent sells out of south Texas shale, while expanding its Permian presence in separate deals.