drilling data

The company’s new Retina imaging system creates high-resolution borehole images at the drill bit.

The authors make the case that data science captures value in well construction when data-analysis methods, such as machine learning, are underpinned by first principles derived from physics and engineering and supported by deep domain expertise.

This paper tests several commercial large language models for information-retrieval tasks for drilling data using zero-shot, in-context learning.

Digitalization and automation of the drilling process drive the need for an interoperability platform in a drilling operation, where a shared definition and method of calculation of the drilling process state is a fundamental element of an infrastructure to enable interoperability at the rigsite.

This paper proposes a holistic, automatic, and real-time characterization of cuttings/cavings, including their volume, size distribution, and shape/morphology, while integrating 3D data with high-resolution images to pursue this objective for use in the real-time assessment of hole cleaning sufficiency and wellbore stability and, consequently, for the prediction, prev…

This paper presents an approach for automatic daily-drilling-report classification that incorporates new techniques of artificial intelligence.

The US-based drilling contractor is buying the drilling technology company just three weeks after announcing a merger with NexTier Oilfield Solutions.

Whether buying or selling, quality, non-production data can help operators achieve improved margins and less downtime, unlocking the true potential of their wells.

The authors of this paper present a system, developed to achieve data transmission using a time-division approach, that includes sealed chambers for microchip storage, a power-release device, and a circuit.

Industry leaders are harnessing the power of data to improve efficiencies, eliminate nonproductive time, and reduce Capex.