Testing page for app
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Machine learning can provide accurate prediction of annular pressure buildup, first-year oil production, and (in conjunction with novel casing accessories) the time and location of water breakthrough along a lateral wellbore. -
Many of us are working remotely now, which generally means we are in our homes in makeshift cubicles or an office setup. Among the faces supporting the industry are another group of remote workers: the offshore and onshore personnel working in remote locations around the world.
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Many reviews of unsuccessful digital-transformation projects point to the lack of the proper organizational culture for the adoption of digital oilfield solutions. What is the right organizational culture for a data-driven enterprise?
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A new report shows that the worst of the ongoing downturn may be soon over. A gradual recovery to global oil markets is expected to begin in the next few weeks.
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The planned JV is for one of three LNG terminals GCL is planning to build in China.
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Even some free-market advocates are calling for regulators to step in and try to help pull them out of what feels like a chasm by setting production limits.
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The deal is part of the company’s divestment program targeting proceeds of $5 to 10 billion between 2018 and 2020.
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Not everybody suffers when US oil producers slash production. Among the beneficiaries could be US gas producers who will benefit because less oil production will mean a lot less gas on the US market.
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SponsoredTo optimize decision-making, minimize risk, and create value, oil and gas companies can turn to liberated, contextualized data. For exploration or drilling, liberated, contextualized data can help the upstream industry make trustworthy decisions that save time and costs. This paper explains how.
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Exploration commitments are expected to dwindle in the current market environment.
