drilling data
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This paper presents a methodology that aims to allows the anticipation of problems such as mechanically stuck pipe or lockup situations when running casing or completion strings in hole. -
Schlumberger and Russia’s Gazprom Neft have agreed to jointly develop software and promote other upstream services to be commercialized across Russia and internationally.
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The paper demonstrates the application of an interpretable machine-learning work flow using surface drilling data to identify fracable, brittle, and productive rock intervals along horizontal laterals in the Marcellus shale.
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Anomalies in heart function can be diagnosed in real time by measuring an electrical signal. Petroleum engineers have adapted the concept to diagnose anomalous drilling conditions in real time using a shock signature recorded downhole.
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Start-and-stop data management initiatives and a mishmash of partial solutions are no longer viable for managing the digital oil field. Data management should be transformed from a cost center to a cash-flow-generating function.
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Drilling still depends on human judgment to solve many problems. Some of the problems are big, and others are related to niggling details. This article discusses three innovations aimed at improving the data flows.
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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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SponsoredFor surveying, exploration, analytics, and a whole host of processes, liberated, contextualized data tailored to the environments of E&P subsurface will empower confidence, speed, reliability, agility, and most importantly, innovation. This is how Aker BP is doing it.
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Fed by big data loads from big operators, a university consortium and software firm are each working to make upstream data access as quick and easy as a Google search.
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Researchers have developed a drilling-data-aggregation and -distribution system that seamlessly integrates all forms of data, file types, and communication protocols and incorporates human-factors engineering in the design.
