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This paper presents the basic concepts and architecture of the Eni Reservoir Electromagnetic Mapping borehole electromagnetic mapping system that integrates borehole EM methodology with surface EM methods to provide real-time mapping of reservoir-fluid distribution during production or injection. An intelligent drilling optimization application performs as an adaptive autodriller. In the Marcellus Shale, ROP improved 61% and 39% and drilling performance, measured as hours on bottom, improved 25%. With their gee-whiz—albeit artificial—intelligence, robots may be the industry’s answer to jobs deemed dangerous, dirty, distant, or dull. A test showing that it’s possible to automate the billing process for produced water hauling has opened the door for tracking a wide range of field activities.
Data Science and Digital Engineering in Upstream Oil and Gas (DSDE) is an online publication from the Society of Petroleum Engineers (SPE) that presents the evolving landscape of data management and use in the industry. It is updated continually with original content from SPE and curated content. In addition to online ads available in a variety of sizes and locations, the DSDE Newsletter is another valuable opportunity to get your name in front of the wide audience of engineering disciplines interested in optimizing the use of data in predictive analytics, artificial intelligence, machine learning, decision science, data analysis, digital workflows, and cybersecurity. Take advantage of the opportunity to reach your target customers. For immediate access to the print and digital media planner, including pricing, please provide your contact information.
Don't miss out on the latest technology delivered to your email every two weeks. If you are not logged in, you will receive a confirmation email that you will need to click on to confirm you want to receive the newsletter. Data Science and Digital Engineering in Upstream Oil and Gas (DSDE) is an online publication from SPE that presents the evolving landscape of data management and data use in the industry. Sign up for the monthly newsletter to receive the latest from DSDE in your Inbox. Studies conducted through collaboration between an operator that knows the physical reality and a data-science company that knows the best machine-learning methods yield good practical results.
Industrial blockchain network Data Gumbo has facilitated real-time tracking of lease operating expenses for oil and gas operators by using validated field-operating data to trigger automated payments based on agreed terms. The agreement will use IBM’s hybrid-cloud technology and Red Hat’s OpenShift platform to expand access to Schlumberger’s Delfi exploration and production software suite. Advanced machine-learning methods combined with aspects of game theory are helping operators understand the drivers of water production and improve forecasting and economics in unconventional basins. The Norwegian company completed what it describes as the world’s first logistics operation with a drone to an offshore installation. Using 3D and artificial intelligence technologies, a digital map of all three bridge-linked jackets was captured, enabling Neptune to detect asset-integrity issues early and plan fabric maintenance work on Cygnus. In this 30-minute interview, Angela Dang Atkinson, a data scientist with Cognite, talks about what skills beyond technology new petroleum engineers need and what challenges they will face in the digital oil field. The Oil and Gas Technology Centre’s first virtual hackathon—Code[Less]—will take place 21–24 September, with 75 participants teaming up to solve challenges, without using coding, to raise awareness of the demand for automation and innovation in the energy sector.
A new open innovation studio aims to use crowdsourcing to redefine the future of oil and gas exploration. To provide condition monitoring and combat fouling, the robot clings and moves along the hull walls. It is controlled via a 4G connection to clean and inspect the walls in line with individual vessel schedules developed through a proprietary algorithm and big data. The maritime technology company successfully completed a remote deadweight audit for a semisubmersible oil and gas drilling rig. Believed to be the first of its kind, the remote survey was developed in response to travel and social-distancing restrictions imposed during the COVID-19 pandemic.
The dynamic nature of unconventional-reservoir developments calls for the availability of fast and reliable history-matching methods for simulation models. In this paper, the authors apply an assisted-history-matching approach to a pair of wells in the Wolfcamp formation. Decline-curve analysis is one of the more widely used forms of data analysis that evaluates well behavior and forecasts production and reserves. Companies that fail to understand the differences between data privacy and data security put their brands and bottom lines in jeopardy. To deliver digital twin technology for the upstream oil and gas markets, the Doris Group, Schneider Electric, and AVEVA are entering into a strategic partnership.
Data scientists working with large data sets or in high-performance computational environments may find these programming languages essential to extracting data quickly and effortlessly. What Is an "Edge Cloud?" It would literally be a world full of data centers, including the largest and the smallest varieties. But whose networks would they be? The answer depends on where these data centers are—or perhaps vice versa.
When as an engineer Sidd Gupta noticed the amount of time and money oil and gas companies spend looking for answers in data they already have, he saw it as an opportunity to create a startup company that can help reduce that. As the oil and gas industry moves more into the machine learning space, Python-conversant petroleum domain specialists will prove to be increasingly valuable to organizations. This article gives a succinct overview of artificial intelligence, its emerging opportunities, prospects, and challenges, and concludes with recommendations to accelerate the admission of AI into workflows. The term digital oil field has become a buzzword in the oil and gas industry these days, with the mention of it bringing up pictures of computers, flashy screens, and programming to mind. In reality, the concept goes beyond these.
For the upstream industry, where improvement in efficiency or production can drive significant financial results, there is no question that the size of the digital prize is huge. Equinor, Microsoft, and Halliburton are among those joining forces. 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. Some 3,000 people and counting intrigued by UK oil and gas data have signed up for access to the country’s new National Data Repository.