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We need to analyze the carbon intensity of reserves, the potential emissions that are in front of us, not just the carbon intensity of current operations. An engineering solution associated with production forecasts over time offers a framework for thinking through the carbon-emissions issue.

The authors describe the process of building multiple scenario-based models to optimize development planning in preparation for the upcoming production phase of the Ichthys field offshore Australia.

The authors demonstrate how artificial intelligence and machine learning can help build a purely data-driven reservoir simulation model that successfully history matches dynamic variables for wells in a complex offshore field and that can be used for production forecasting.

For the entities formerly—and, sometimes, still—known as oilfield service companies, the energy transition presents new business challenges and opportunities. How are they managing?

The recent cyberattack on Colonial Pipeline’s IT system has thrust the issue of oil and gas industry cybersecurity into the spotlight, which, according to specialists in the field, is where it should always be.

The paper describes an end-to-end deep surrogate model capable of modeling field and individual-well production rates given arbitrary sequences of actions.

The contractor will supply over 300 km of flexible pipe between four field developments offshore Brazil.

One of the major characteristics of petroleum data analytics is its incorporation of explainable artificial intelligence (XAI). Predictive models of petroleum data analytics are not represented through unexplainable black-box behavior. Predictive models of petroleum data analytics are reasonably explainable. This second part of a two-part series presents the use of XA…

Are you trying to stay up to date about developments aimed at energy transition efforts in our industry? This roundup of news presents some of the recent announcements. Visit SPE’s HSE Now for more news.

The latest iteration of the Top500 list puts the Perlmutter supercomputer at Lawrence Berkeley Laboratory in the spotlight.

The North Sea project is set to include 23 subsea, oil-producing wells tied into four subsea templates to tap an estimated 200 million bbl of oil.

The new data-management platform is designed to increase access to energy data.