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Keywords: machine learning
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Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-208194-MS
... sequential approach is time-consuming and includes the risk of delaying project maturation. This work introduces a novel approach which integrates subsurface geological and dynamic modeling as well as economics and uses machine learning augmented uncertainty workflows to achieve project acceleration...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-208195-MS
.... The integration of the couple affine transformation-ANN increases the performance of unsupervised clustering in IFDP. machine learning production control reservoir surveillance production logging complex reservoir upstream oil & gas geometry complexity production monitoring hydraulic fracturing...
Proceedings Papers

Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-208201-MS
... a quantitative formulation between conventional well log data, rock mineralogical content and PEF. 230 data points were utilized to implement the machine learning (ML) methodology which is initiated by implementing a statistical analysis scheme. The input logs that are used for architecture establishment...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207230-MS
... This paper addresses a machine learning based pseudo log prediction for areas where well data is limited or very sparsely available using knowledge-driven data augmentation strategy. A supervised decision-tree based Gradient Boosting predictive method ( Ke et al., 2017 ) is used to instrument...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207233-MS
... universal trace kriging reservoir characterization upstream oil & gas artificial intelligence objective function machine learning reservoir simulation proxy geological realization pareto front pareto curve representative model della rossa application development strategy decision space...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207242-MS
...-by4 license workflow petroleum engineer machine learning prediction job interpreter seismic data courtesy geoscience australia applied artificial intelligence training data application dataset Process We have approached the problem of allowing subsurface domain experts to interact...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207244-MS
... we want to highlight. m corresponds to inline, crossline, or depth direction. Figure 2 (a) Original seismic data and (b) its saliency map. artificial intelligence classification seismic-only model neural network seismic data detection machine learning deep learning accuracy...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207245-MS
... and additional topics cover single, multiple well approaches and new emerging PRT techniques (including NMR well logs and machine learning). We recommend how to merge classic facies with PRT analysis for 3-D applications including populating a 3D volume. reservoir characterization artificial intelligence...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207248-MS
... and challenges are different. strategic planning and management real time system machine learning information management partnership approach cloud computing production value collaboration project management upstream oil & gas maintenance knowledge management artificial intelligence value...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207253-MS
... between the injectors and producers. reservoir characterization complex reservoir artificial intelligence enhanced recovery upstream oil & gas repeatability noise mechanism carbonate reservoir thickness correct sign anomaly variation machine learning miscible method seismic...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207266-MS
.... The trained object-detection model was evaluated on a test data set prepared from the O&G reports. DETR demonstrated superior performance when compared with the Mask R-CNN on our dataset. deep learning recognition transformer artificial intelligence r-cnn document page machine learning...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207341-MS
... artificial intelligence upstream oil & gas machine learning optimization problem correlation presented allocation reservoir pressure sciencedirect gas lift optimization artificial lift system gas injection simulation optimization application chromosome genetic algorithm oil production...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207344-MS
...-controlled inversion is an effective prediction method. reservoir characterization structural geology heterogeneity well logging thin reservoir log analysis upstream oil & gas multi-level lithofacies-controlled inversion machine learning artificial intelligence thin carbonate reservoir...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207351-MS
... obtained and were analyzed using random sampling method. machine learning artificial intelligence upstream oil & gas production monitoring flow metering testing mechanism test validity reservoir surveillance drillstem testing accuracy production control production logging drillstem...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207363-MS
... latency machine learning artificial intelligence neural network sustainability predictive maintenance algorithm limitation sustainable development data security biofuel air emission information thermoelectric generator battery iiot device algorithm edge-computing batteryless protocol...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207364-MS
... To solve this problem, the automated geosteering optimization platform is presented in the paper. This online system allows to not only automatically create and customize the model, but also prepare recommendations for the best well placement using optimization and machine learning methods...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207365-MS
... of the workflow on the level of each field. The proposed mechanism consists of the following four modules (as shown in Figure 1 ), which are implemented in the same order: machine learning big data accuracy data mining text processing information artificial intelligence computer vision...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207377-MS
... Figure 3 Example of GeoPopulations on the left and a Fitness map on the right from a SEAM 3D seismic dataset. (Higher raster values imply higher Fitness) Results This paper presents how Artificial Intelligence (AI) / Machine Learning (ML) technology uses unsupervised genetics...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207378-MS
... objective requirement presenter attendance presentation sticky issue machine learning pdo audience young professional participant trainee halaqa petroleum engineer Background Petroleum Development of Oman (PDO) provides different types of learning and development for staff across...
Proceedings Papers

Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 15–18, 2021
Paper Number: SPE-207380-MS
... an interactive geo spatial map superimposed with plot plans, timetables, and work packages. Artificial intelligence (AI) and machine learning (ML ) can be used to forecast the probability of danger in various field operations. It's done by using IoT devices implanted in employees’ PPE and in the environment...

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