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1-20 of 170
Keywords: accuracy
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Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (02): 92–94.
Paper Number: SPE-0225-0092-JPT
Published: 01 February 2025
... to derive the complex fracture network from microseismic data in a shale gas reservoir. The proposed method has good adaptability and high accuracy in various fracture configurations. Introduction Because the location of microseismic data has a closely related spatial and temporal relationship...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 55–58.
Paper Number: SPE-0125-0055-JPT
Published: 01 January 2025
... flooding methods producer eor modeling co 2 pinn framework production rate physics model application reservoir-connectivity identification historical well measurement production control hybrid model well measurement ml model machine learning injector flux allocation accuracy TECHNICAL...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 59–62.
Paper Number: SPE-0125-0059-JPT
Published: 01 January 2025
... studies shed light on the development of empirical models used for MMP forecasting. Nevertheless, the accuracy levels of most correlations are inadequate because of the methods used to construct the equations used in the model’s development. Data-driven techniques, however, make use of diverse data...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 89–91.
Paper Number: SPE-0125-0089-JPT
Published: 01 January 2025
... used to estimate and predict well status using a combination of surface and subsurface parameters in offshore areas. Four machine-learning (ML) algorithms were used to estimate and then predict well-operating status. Parameters Affecting Well-Operating Status The accuracy of predicting well-operating...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 77 (01): 92–95.
Paper Number: SPE-0125-0092-JPT
Published: 01 January 2025
... wrong answer probability accuracy TECHNICAL PAPERS | Data Science, Analytics, and Artificial Intelligence Zero-Shot Learning With Large Language Models Enhances Drilling-Information Retrieval Finding information across multiple databases, formats, and documents remains a manual job in the drilling...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (11): 74–76.
Paper Number: SPE-1124-0074-JPT
Published: 01 November 2024
... drilling fluid chemistry accuracy drilling fluid formulation drilling fluid selection and formulation machine-learning approach predict gel strength gel strength artificial intelligence strength gel-strength measurement drilling operation rheological property transfer function gel-strength...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (10): 90–93.
Paper Number: SPE-1024-0090-JPT
Published: 01 October 2024
... can provide measurements of BHP accurately, but these measurements are not always available. Numerical models can be used to correlate surface measurements to BHP with some accuracy, taking into consideration the well configuration and fluid properties, yet it is too time-consuming to develop...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (07): 74–76.
Paper Number: SPE-0724-0074-JPT
Published: 01 July 2024
... dealing with single-phase fluid flow. Unfortunately, this condition is rare in the petroleum industry. The existence of multiple phases introduces multiple complexities hindering the accuracy of downhole pressure predictions. To account for such variations, fluid-property models must be integrated...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (03): 53–54.
Paper Number: SPE-0324-0053-JPT
Published: 01 March 2024
... gauges, so an artificial neural network (ANN) approach is used to predict the ESP discharge pressure for performance optimization. Forty wells and more than 12,000 data points were reduced to 16 inputs plus one hidden layer of seven neurons to provide a high degree of accuracy in prediction of discharge...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 76 (03): 61–63.
Paper Number: SPE-0324-0061-JPT
Published: 01 March 2024
... collecting data from 40 wells operational during 2019–2023 with starting dates from 2019 through 2022. The data included key parameters provided in the complete paper. Data Cleaning and Integration . The data-cleaning process was performed to ensure that the accuracy and reliability of the data were...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 75 (11): 94–97.
Paper Number: SPE-1123-0094-JPT
Published: 01 November 2023
... intelligence prediction violin holdup production control confusion matrix fluid dynamics production logging data mining outlier misclassification experiment dimension precision category deficiency accuracy frequency discrepancy literature methodology transition pressure-drop prediction...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 75 (09): 97–100.
Paper Number: SPE-0923-0097-JPT
Published: 01 September 2023
... chemistry machine learning algorithm prediction accuracy operation rom thermodynamic simulation validation application accuracy ion concentration simulation composition modeling TECHNICAL PAPERS | Oilfield Chemistry Reduced-Order Models Blend Chemistry, Machine Learning for Water-Property...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 75 (06): 57–59.
Paper Number: SPE-0623-0057-JPT
Published: 01 June 2023
... model. The authors identify three benefits of their approach from a modeling point of view. First, it reduces the total number of chemical reactions taking place, which greatly simplifies computational complexity while maintaining reasonable accuracy. Second, the inclusion of separate chemical reactions...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 75 (02): 62–64.
Paper Number: SPE-0223-0062-JPT
Published: 01 February 2023
... accuracy can be improved. This is called a hybrid ML strategy, which combines historical data with the physics model, taking advantage of ML capabilities and synergies with domain knowledge. The Industry 4.0 platform enables the implementation of this hybrid model directly inside the new well-construction...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 74 (12): 75–77.
Paper Number: SPE-1222-0075-JPT
Published: 01 December 2022
... Conference bit design machine learning optimization equipment artificial intelligence architecture vibration upstream oil & gas bit selection wob jsa cutter stability accuracy rop machine learning assist bit selection technical paper bit characteristic TECHNICAL PAPERS | Bits...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 74 (10): 46–51.
Paper Number: SPE-1022-0046-JPT
Published: 01 October 2022
... solutions are nonunique. In other words, the accuracy of the analysis lies in the eye of the beholder. Ardent practitioners argue that none of this is a revelation, nor negates the value that RTA can deliver when used by a skilled reservoir engineer. Those closer to the middle of the spectrum will add...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 74 (10): 83–85.
Paper Number: SPE-1022-0083-JPT
Published: 01 October 2022
... forest, Gaussian, K-nearest neighbor, and support-vector machine classifiers. gas injection machine learning gas lift artificial intelligence upstream oil & gas risk management gas lift performance category regression probability knowledge ml algorithm envelope accuracy university...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 74 (10): 97–99.
Paper Number: SPE-1022-0097-JPT
Published: 01 October 2022
... at bridging gaps in areas with limited core data coverage, reducing subsurface uncertainty and risk, and accelerating project delivery. In addition, data-prediction accuracy can be improved with ML applications as new data become available. Phase I: Data Preparation and Verification In this stage, more than...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 74 (08): 75–77.
Paper Number: SPE-0822-0075-JPT
Published: 01 August 2022
... drilling operation algorithm hrv accuracy vascular disease health & medicine training operator indicator safety sensor implementation TECHNICAL PAPERS | Health, Safety, and Environment Psychological Factors Coupled With Machine Learning Improve Rig Training The complete paper explains how...
Journal Articles
Journal:
Journal of Petroleum Technology
Publisher: Society of Petroleum Engineers (SPE)
J Pet Technol 74 (07): 59–61.
Paper Number: SPE-0722-0059-JPT
Published: 01 July 2022
... propagating as guided waves along the borehole. The complete paper describes an approach to estimate and subsequently remove the guided-wave noise from the hydrophone array data to improve the accuracy of leak-source locations. Estimating the propagation direction and amplitude of leak-induced guided waves...
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