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Keywords: accuracy
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Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222116-MS
... and pressure value analysis. This automation saves an average of 90 minutes per test for the drilling supervisor and improves the accuracy of pressure test reporting. Applied across ADNOC Onshore rigs, it has shown an estimated 300% ROI. The extracted data is exported in JSON format for integration...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222158-MS
... was timestamped to ensure temporal accuracy, a critical aspect for subsequent processing by the Deep Learning Video Processing Model. if the level is not visible, we labeled them as Unknown Level. The initial phase of our study involved a comprehensive data collection process using thermal cameras...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222174-MS
... project team pishdad-bozorgi lead time de la garza objective feed operation personnel construction hatch accuracy fast-track schedule vendor requirement design phase engagement Introduction The detailed design work was split into two phases, Phase 1 and 2: With the ever...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222181-MS
... transforms raw data into actionable insights at significantly improved pace, accuracy, and consistency. Reliability simulations are utilized to understand the next time a failure may occur. Reliability engineers then use this data to prioritize working on equipment with poor reliability, while work...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222299-MS
.... Challenges arise from variations in reservoir properties across different depositional facies, clay content, and fluid presence, affecting prediction accuracy between original training data and predicted wells. The model effectively predicts well logs utilizing gamma-ray, resistivity, gas content data...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222053-MS
... learning arxiv preprint arxiv dataset geoscientist geological task data type knowledge natural language large language model accuracy geoscience geoscience project deep learning interpretation assessment reservoir characterization multi-modal ai system information evaluation integration...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222068-MS
... years ago to assist its affiliates in tracking the performance and accuracy of subsea multiphase flow meters (MPFM). These complex devices are essential for measuring the production rates of oil, water and gas by well and for providing reliable forecasts for future operations. Since the initial stages...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222074-MS
... are getting the correct measurements live and on time. steam-assisted gravity drainage flow metering geology flowmeter mineral production control maintenance apo well production monitoring ultrasonic flowmeter deposit reservoir surveillance thermal method accuracy aquifer pump geologist...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222097-MS
... the accuracy of seismic data interpretation through detailed mapping of karst geobodies and evaluate the risks associated with karsts. The CNN architecture is designed to effectively capture spatial patterns and features pertinent to karst detection. The model undergoes supervised learning process, wherein...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222100-MS
... time or TOT (time on tools). Three main methods could be used to measure HoTT, Activity Survey, DILO (Day in Life Of) and Self-Reporting. Activity survey is a statistical survey on various maintenance activities. Data points are recorded by observers deployed to random activities. Wrench time accuracy...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222105-MS
...-based borehole image interpretation traditional method dataset fracture ai model algorithm deep learning algorithm accuracy Introduction The integration of AI-driven interpretation techniques offers a transformative solution to these challenges. By leveraging advanced machine learning...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221814-MS
.... The study highlights that the complexity of the ML algorithm escalates for highly intricate and heterogeneous reservoirs to enhance the accuracy of water prediction in the field. All ML algorithms performed effectively, with CatBoost proving particularly adept at capturing reservoir heterogeneity...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221825-MS
... based on multiple objectives such as reservoir fill-up, sweep efficiency, and water injection effectiveness. Our extended formulation not only improves the accuracy of CRM models—evidenced by increases in R 2 values from 0.6 to 0.95 in some cases—but also provides more precise subsurface insights...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222443-MS
... the preparation of these variable tables. The integration of RPA into this process offers several significant advantages: enhanced efficiency by drastically reducing the time required for preparation and maintenance, improved accuracy by minimizing human involvement and thereby reducing errors, and optimized...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222485-MS
... adopt picture recognition algorithm, vibration data adopt time domain analysis, and production data adopt random forest algorithm. Then, a deep neural network is developed to couple four models to diagnose ESPs production status. All the models have high accuracy through optimization. In the end...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222306-MS
.... The proposed ML workflow in the study consists of a three-step process: (1) a classification model used to predict stage skipped, which is crucial as it influences the subsequent regression models. Results showed an excellent result in the predictions with an accuracy of 94%. (2) Multiple regression models...
Proceedings Papers

Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222406-MS
...) for forecasting the spatiotemporal evolution of pressure and CO2 saturation in a large, heterogeneous geological carbon-storage aquifer. The enhanced FNO models, trained on the SACROC geological model, achieved high accuracy, with mean absolute errors (MAEs) of 0.046 MPa for pressure and 0.011 for saturation...

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