Aspen Technology, digital oil field, oil and gas, machine learning

Some oil and gas companies are turning to processes that search data and detect patterns to ultimately predict the likelihood of equipment failures and other challenges.

Kirby Corp., Joseph H. Pyne, Stewart & Stevenson, Parman Capital, Tudor Pickering, A&D

Kirby Corp. sees the purchase as an opportunity to buy into the oilfield services recovery.

Paradigm 17 offers an embedded rock type classification workflow in its integrated interpretation canvas

Big Data can be used to power predictive analysis and lower well costs.

Protecting valuable data assets begins with knowing the ownership rights.

Software simplifies workflows, expands the use of machine learning and strengthens third-party connectivity.

New tools provide high-quality images in a timely fashion.

Technology enables the simultaneous interpretation of seismic, multiattribute volume combinations and color blends with preview-driven editing.

Experts share their insight on Big Data applications and their use in the oil and gas industry.

oil and gas, final investment decision, Rystad Energy

The number of non-sanctioned oil and gas projects has risen from 29 in 2015 to more than 100, according to a report.

Whether it’s intelligent sensors or augmented reality, operations continue to get smarter.

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