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Keywords: machine learning
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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206065-MS
... and the FMM-based rapid simulation. The workflow has flexibility to incorporate various spatial and temporal data types. machine learning deep learning regression model complex reservoir gridblock neural network hybrid model artificial intelligence upstream oil & gas autoencoder simulation...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206113-MS
... alike. Unique automation capabilities were developed that unified several processes and IIOT data on a completions site. machine learning log analysis artificial intelligence well logging hydraulic fracturing time-synchronous digital platform information management production enhancement...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206087-MS
..., and professional development education and training through lifelong learning platforms. machine learning data mining asset and portfolio management cloud computing artificial intelligence upstream oil & gas internet application vertical education enhancement approach reservoir characterization...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206109-MS
... ( Sone 2012 ). Introduction well logging machine learning log analysis artificial intelligence reservoir characterization flow in porous media hydraulic tortuosity tortuosity value algorithm image stack upstream oil & gas whole-core ct-scan image stack electric potential...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206089-MS
... density, porosity, and permeability. Classification and Regression Trees (CART) are among the most popular machine learning algorithms given their intelligibility and simplicity ( Krzywinski and Altman, 2017 ). CART is a decision tree-based prediction model. The tree is built from each internal (non...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206126-MS
... a reservoir simulator. machine learning reservoir surveillance production monitoring reservoir characterization artificial intelligence production control reservoir simulation shallow algorithm vae spe-206126-m testing location neural network fluid dynamics deep algorithm oil production...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206106-MS
... initial implementation phase is concluded. machine learning climate change artificial intelligence gas injection method enhanced recovery upstream oil & gas subsurface storage saline aquifer structural geology air emission reservoir characterization miscible method reservoir...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206137-MS
... approach and these phases will be discussed subsequent sections. Fig 2 Solution Methodology Phase 1 – Supervised well test validation model Well test validation flag prediction: The objective is to to build accurate classification machine learning model based on reservoir...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206136-MS
... the prediction cost of rock breakdown pressure before the fracturing operation of new wells and provides an optional method for the evaluation of tight oil reservoirs. reservoir characterization artificial intelligence fracturing materials machine learning wellbore integrity reservoir geomechanics...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206129-MS
... kept as low as reasonably practicable, or as specified. Machine learning (ML) and artificial intelligence (AI) models are used intensively in oil and gas industry nowadays. ML concept is based on powerful algorithms and robust database. Developing an efficient classification model for well integrity...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206152-MS
... enables the accurate calculation of important metrics for unconventional reservoirs, including production forecasting and expected productive life of an asset. production control machine learning reservoir surveillance production forecasting oil shale modeling & simulation optimization...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206150-MS
... system. artificial intelligence principal component machine learning upstream oil & gas well group esp trip artificial lift system modeling & simulation information variable parameter single well system health monitoring testing dataset data mining esp system failure event...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206181-MS
... emission rates to verify industry emission performance and data. climate change air emission quantification offshore environment onboard sensor performance upstream oil & gas methane simulation emission rate sensor machine learning detection limit background plume spectrometer...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206173-MS
... or severe membrane fouling without the capability to predict fouling based on process conditions. The machine learning techniques applied will fill the gap and deliver a prediction model based on both simulation and real-time field data. This model will track and monitor the system key performance...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206195-MS
... optimization and operational decision-making in a wide range of well conditions and operational requirements. evolutionary algorithm deep learning optimization problem cumulative production gas production machine learning neural network objective function contract value relative error north sea...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206170-MS
... the running time and number of paths computed is presented. All results were obtained during the validation tests of the algorithm. evolutionary algorithm upstream oil & gas artificial intelligence bit position particle presented machine learning drilling operation well plan footage...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206145-MS
... estimation. drilling operation gamma ray machine learning likelihood artificial intelligence correlation upstream oil & gas target depth identification circle hough transform reference gamma ray recovery depth procedure sidewall core correction alignment reference log hough...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206174-MS
... in that can lead to optimal well completion designs. artificial intelligence machine learning complex reservoir hydraulic fracturing upstream oil & gas oil shale shale oil directional drilling covariate completion installation and operations drilling operation cumulative production...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206184-MS
... machine learning upstream oil & gas dependence prediction performance experiment temperature dependence model Introduction NMR has become a critically important tool for both laboratory and downhole petrophysical evaluations of rocks and fluids, such as conventionally porosity...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205864-MS
... will increase adoption of automated technologies and further drive improvements in operational and business performance. artificial intelligence upstream oil & gas information angular sensor drilling equipment rig plc mlwd system mud motor machine learning drilling operation top drive...

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