digital transformation

A bearish future prospect and the digital transformation of the industry are forcing oilfield service companies to restructure their service delivery accountability and improve the interfaces between software and traditional segments.

Firms such as Netflix have had a solid digital transformation strategy. Now, industrial companies, including in the oil and gas sector, are on a similar, if less dramatic, trajectory.

DSDE recently spoke with Bill Vass, vice president of engineering for Amazon Web Services, about his observations on the oil and gas industry’s digital efforts and Amazon’s aggressive growth in the business.

Malaysia’s Petronas, Shell Malaysia, and Thailand’s PTTEP are now in the midst of full-scale digital adoption. The companies are beginning to see results, but none is counting on a “big bang” in development of the technology soon.

Analytics, sensors, and robots are changing the way one of the world’s largest oil and gas companies does business. Underpinning all the new technology though is a shift in how BP thinks, and what it means to be a supermajor in the 21st century.

While both are raw resources, data is reusable. A CERAWeek panel said infrastructure and cultural change are needed to drive the transformative value of data.

Following up the petroleum industry’s work with digital technology and security is a priority area at the Petroleum Safety Authority Norway. A key target for this supervision in 2019 will be helping the sector to improve safety and the working environment.

Two new centers in Bergen, Norway will lean on emerging digital technology to oversee much of the Norwegian operator’s offshore operations.

Meet the group advancing digital technology adoption within one of the largest oil and gas producers in the US. Its aim is to cross-pollinate reservoir engineers with data scientists to create a 21st century workforce.

Strides made in data analytics over the past few years have been huge. But the complexity of data, and understanding how to use them, can delay the advantages to be gained. If the benefits and methodology of data acquisition are not better explained to engineers, might implementation suffer?