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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215047-MS
... Machine Learning (ML); an automated predictive analytics tool for model selection; and incorporating the predictive models into a prescriptive model that determines quantity of additives to use to achieve a desired set of drilling fluid properties. Given the initial product composition, a set of desired...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215053-MS
... for service cost forecasting. The resulting model provides valuable insights into the key operational commodities and their correlation with key market factors, enabling companies to make more informed decisions about asset planning. united states government machine learning volatility capital...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215091-MS
... government rock type geology deep learning production forecasting petroleum play type north america government production monitoring production control machine learning energy economics estimation unconventional resource technology conference united states government clastic rock complex...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215112-MS
... upstream oil & gas complex reservoir geology saudi arabia government reservoir surveillance production monitoring production control separation and treating separation efficiency operation machine learning real time system gas-liquid separator reliability reservoir geomechanics...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215103-MS
... modeling & simulation numerical simulation history matching united states government neural network iran government machine learning geologist reservoir deep learning flow in porous media artificial intelligence neural operator society sagd geology reservoir simulation petroleum play...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215102-MS
... artificial intelligence climate change depositional environment katterbauer journal history matching taranaki basin assessment evaluation sustainable development new zealand government electrolyzer biomass conversion microbe machine learning reservoir hydrogen storage estimation...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215072-MS
... Abstract This study introduces a novel machine learning-based framework aimed at optimizing well placement for shale development. Traditional well-placement techniques, often reliant on physics-based modeling or empirical assumptions, have proven to be time-consuming and prone to suboptimal...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215046-MS
... intelligence complete digital drilling package deployment information simulation machine learning integration figure 6 data mining risk reduction and performance optimization algorithm risk management knowledge management application efficiency Introduction Following the recent hydrocarbon...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215090-MS
... characterization of pore structures from digital rocks. geologist saudi arabia government simulation geology well logging upstream oil & gas artificial intelligence reservoir characterization machine learning asia government log analysis simulator relaxivity suppress relaxation voxel...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215110-MS
... time fraction. We use linear equality constraints so that the summation of the length of each cycle is equal to the life of the production, and thus, we do not need to truncate the length of the last cycle. We consider both the stochastic simplex gradient optimization and the machine learning-based...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215132-MS
... from this multi-year (8 years and ongoing) deployment should provide valuable insights to those planning to deploy AI software at scale, at the edge. upstream oil & gas drilling equipment united states government machine learning data quality ashok spe annual technical conference...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215143-MS
... be challenging, while still being critical for GHG reduction initiatives to measure progress. This paper presents a novel data-driven methodology using machine learning to provide a real-time representative model of generator management. Two years of generator power output data at 1 Hz sampling frequency...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215088-MS
... simulation equation of state enhanced recovery saudi arabia government machine learning pathline flow in porous media reservoir characterization geology reservoir simulation visualization particle datta-gupta saturation flight source cloud scenario application hydraulic fracturing tracer...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215161-MS
... including the petroleum sector to avoid errors and inconsistencies. In addition, deduplication is a key step to consider in data pre-processing for training large machine learning models. This paper tackles the task of duplicate detection in technical reports by proposing a hybrid solution based on open...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215117-MS
... oil & gas deep learning flow in porous media machine learning permeability dfn porosity pixel connectivity evaluation metric u-net-wide application journal physics-based metric fracture Introduction Understanding and characterizing the intricate inner structure of low...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215133-MS
... confounder rock type machine learning magnitude average treatment effect coefficient causal inference double machine learning assumption united states government reservoir characterization spatiotemporally proximal temporal concentration selection confounder selection clastic rock hydraulic...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215115-MS
..., especially in wells that tend to produce solids. production logging upstream oil & gas artificial intelligence production monitoring flow assurance asia government sand control orientation background noise effect nadeem acoustic sand monitor vieira machine learning experiment...
Proceedings Papers

Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215164-MS
..., resulting in cost saving in rig time operation. geology upstream oil & gas sedimentary rock united states government geologist asia government saudi arabia government natural language rock type well logging machine learning hydrocarbon formation evaluation model flouresence text...

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