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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209530-MS
... across the wells. optimization problem advanced visualization tool optimized well drilling operation wellbore trajectory well planning upstream oil & gas drilling time trajectory visualization application hmse visualization artificial intelligence trajectory design trajectory rop...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209534-MS
... gas injection method annual logging symposium injection gas amg composition artificial intelligence pvt measurement amg log database machine learning model log analysis modeling & simulation upstream oil & gas reservoir well performance equation of state inflow performance...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209557-MS
... machine learning history matching artificial intelligence upstream oil & gas reservoir simulation structural uncertainty fault transmissibility multiplier workflow predictive grid producer ensemble realization iteration dynamic data reduction conditioning posterior ensemble grid...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209529-MS
.... To improve cement log interpretation consistency in the industry, the results are made available as open source. well logging accuracy artificial intelligence training set cement log interpretation tool machine learning upstream oil & gas classifier annular condition code log...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209563-MS
... fracturing fluid real time system proppant hydraulic fracturing artificial intelligence upstream oil & gas sta component norwegian continental shelf erosion production liner operational sequence sta system trial well completion sta flow port proppant slurry keerthivasan operation...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209545-MS
... completion design possible irrespective of the human elements such as bias, inexperience, contractor equipment preference, etc. Using Artificial intelligence tools like machine learning algorithms, the software proposes the best completion based on similar downhole conditions or equipment data fed...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209573-MS
... artificial intelligence dimension upstream oil & gas computational time history matching posterior distribution machine learning bayesian inference inflow performance information monte carlo bayesian approach petroleum engineer experiment algorithm hamiltonian monte carlo improved...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209560-MS
... timescale, from a tour lasting minutes to look at a particular geological feature, through to a multi-day agenda mirroring a conventional field trip. We illustrate our contribution using example VFTs designed for different audiences and geological topics. artificial intelligence machine learning...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209538-MS
.... machine learning enhanced recovery information management reservoir characterization data quality fluid dynamics core analysis artificial intelligence reservoir simulation datatype pipeline burial depth data mining modeling & simulation upstream oil & gas trend model metadata...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209570-MS
..., employing a "needle rotation randomizer". Secondly, the new workflow enables optimizing the number of subs and wells, using an efficient economic optimization assessment. artificial intelligence well performance enhanced recovery reservoir characterization asset and portfolio management...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209566-MS
... be used to support the business decision at hand. As a result, we potentially reduce the cycle time from new data, or new ideas to conditioned models from months or years to hours or days. artificial intelligence modeling & simulation data conditioning upstream oil & gas reservoir...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209561-MS
... requirement production control artificial intelligence calculation generic compressor chart expression compressor chart inlet pressure air emission generator suction pressure energy usage power consumption installation Introduction Equinor has set ambitious goals for carbon efficient...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209565-MS
... injector oil production different injector location producer artificial intelligence upstream oil & gas variation waterflooding operation enhanced recovery tax rate search space waterflooding injector bhp co 2 well placement injector location response surface emission reservoir model...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, April 27, 2022
Paper Number: SPE-209522-MS
... workflow. machine learning reservoir simulation & nævdal modeling & simulation seismic data experiment information artificial intelligence upstream oil & gas data mismatch reservoir characterization bhakta different experiment observational data reservoir model initial...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, November 2–3, 2020
Paper Number: SPE-200750-MS
... an exploration prospect and planning a new well. Searching for and contextualizing this content are the first steps toward making the retrieved information instantly available and more interactive for domain experts. artificial intelligence api architecture application information management polygon...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, November 2–3, 2020
Paper Number: SPE-200734-MS
... and physics-based approaches used separately are considered inadequate for future automated drilling concepts. machine learning production control production monitoring reservoir surveillance upstream oil & gas artificial intelligence hybrid method drilling operation drilling automation...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, November 2–3, 2020
Paper Number: SPE-200743-MS
... simulation artificial intelligence asset and portfolio management control variable field development optimization and planning optimization reservoir characterization optimization problem objective function upstream oil & gas experiment geological uncertainty optimization challenge economic...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, November 2–3, 2020
Paper Number: SPE-200732-MS
... artificial intelligence annular pressure drilling wellbore stability issue keyword wb npt contractor drilling contractor maersk drilling wb issue wellbore instability keyword search method npt operator Introduction Non-productive time (NPT) is the time when the drilling operations...
Proceedings Papers

Paper presented at the SPE Norway Subsurface Conference, November 2–3, 2020
Paper Number: SPE-200738-MS
... artificial intelligence upstream oil & gas predictive model control system integration sensor rheology bjørkevoll society of petroleum engineers algorithm automation Introduction An overall motivation of this work is to automate monitoring and treatment of drilling fluids and prepare...

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