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Thank you for attending the SPE Workshop. As drilling automation has transformed from a blue sky vision to a reality, so has the industry's understanding of the depth and breadth of automation needs and opportunities. The focus is no longer solely on-bottom drilling performance but now considers the entire lifecycle of well construction. Sensors for automation Human centered design - industry 5.0 thinking (placing the human back in the loop) Big data analytics that are proven Streaming analytics and edge solutions Human centered design - industry 5.0 thinking (placing the human back in the loop) Individual case studies within each session were presented to provide a foundation for what is available today, and what will be available in the near term. This workshop brought together operators, drilling data solution experts, as well as service company and drilling contractor personnel to identify and discuss challenges to accelerating adoption of these solutions in the industry.
Average production from Bakken wells completed more than 3 years after they were drilled was approximately equal to wells drilled a year before they were put into service, according to a study by the US Energy Information Administration. The oil and gas industry has a lot to gain from the adoption of big data analytics as recently highlighted examples from major service company Halliburton demonstrate. SPE’s technical directors are focused on problems that require working outside the bounds of their discipline. Angola’s Block 17 is nearing the end of one era of development and the beginning of its next. A condensed version of what is on the minds of SPE’s technical directors is: The industry needs multidisciplinary, data-driven ways to adapt to what is ahead, focus on what is critical for decision making, and take a long view as another generation takes over.
Drilling activity in US shale plays is slowing as operators encounter higher prices for labor, equipment, and services, and lower prices for the oil and gas produced. Optimization of maintenance costs is among operators’ main concerns in the search for operational efficiency, safety, and asset availability. The ability to predict critical failures emerges as a key factor, especially when reducing logistics costs is mandatory.
The provider of subscription-based analytics services for the North American oil and gas sector continues its streak of purchasing data-focused firms. Findings from Kayrros suggest the average Permian well is both less productive and more expensive than reflected in public data. 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. Is the Cloud Mature Enough for High-Performance Computing? Data volumes are growing at an exponential rate.
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.
Several well-stimulation products and techniques have been seen to benefit well productivity from recent field trials and implementations in carbonate reservoirs, including simpler acid fluid systems, integrated work flows, and coiled-tubing bottomhole assemblies. The fourth industrial revolution is taking the oil and gas business by storm. Many companies have increased resources for big-data analytics and machine learning. Though no one sees physical oilfield services as in decline, development in these areas may take a back seat to artificial intelligence. This paper covers the staged field-development methodology, including analysis and evaluation of various development concepts, that enabled the company to optimize both completion design and artificial-lift selection, reducing downtime and lowering operating costs by nearly 50%.
The Open Group OSDU Forum aims to create a standard data platform on which members work collaboratively to enable secure, reliable, global access to all subsurface and well data. Mississippi land no longer up for grabs, as the fed continues to postpone or cancel the sale of public parcels. Country had hoped to boost oil output and bring in much-needed revenues. Now more than ever, safely managing the role of digitalization and the demand for decarbonization while efficiently balancing the books will be critical for companies to survive and thrive. Its reward for years of struggling to adapt to low prices and weak demand for its oil and gas has been an epic crash.
Yet industry studies reported that up to 50% of the clusters and stages and up to 40% of the fracture networks do not produce in the current geometric factory-mode-completion approach, leading to estimates that up to 40% of the drilled and completed shale wells in North America alone could be uneconomical. Additionally, interactions between fractures in adjacent horizontal wells, and the costly negative effects of these interactions, have become the focus of much discussion and debate within the technical community. The impetus for this attention has been the effect of these interactions on productivity and the mechanical integrity of the parent wells. These issues drive the need for oil and gas operators to have more-accurate, affordable, and timely data on the performance of individual fracturing stages, measured intrawell communication, and temporary and long-term frac/frac connections to enable improved decision-making and optimization of multistage hydraulic fracturing operations as well as overall field development.