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Keywords: machine learning
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Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32715-MS
..., a machine learning approach based on the review of the literature and good practices used in the oil and gas industry and other engineering fields is proposed to predict water in oil emulsions viscosity. Was utilized 726 data points of light oil from different Brazilian fields to train an Artificial Neural...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32895-MS
... structural geology salt tectonics reservoir characterization brazil government directional drilling drillstring design united states government modeling & simulation machine learning samuel wellbore drilling efficiency well severe drilling scenario feasibility drilling operation...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32836-MS
... a machine learning based approach to predict subsurface image change due to velocity perturbation. This fast image change estimator takes the three channel inputs: an initial velocity model, its migrated image, and a velocity perturbation. It outputs the new image due to the velocity change...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32825-MS
... reservoir characterization engineering journal water management npv wag structural geology optimization problem enhanced recovery machine learning egg model wag 1 brazilian pre-salt fluid reservoir simulation wag injection offshore technology conference pso algorithm particle swarm...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32851-MS
.... A new standard was released for the assurance of digital twins ( DNV-RP-A204, 2023 ) in 2021 and updated recently. The methodology is based on experience with technology qualification ( DNV-RP-A203, 2019 ), assurance of data quality ( DNV-RP-0497, 2023 ), assurance of simulation and machine-learning...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32877-MS
... by an innovative meshless smart structure algorithm that inputs the borehole geology interpretation to create an implicit function at the wellbore, which represents the geological trends, and populated with petrophysical properties using a combination of geostatistics and machine learning methods. The workspace...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32875-MS
... in a collaborative and symbiotic way with several types of players in the global community. Results so far obtained with 3W are promising, which justifies and motivates other similar projects to adopt the strategy proposed in this article. artificial intelligence machine learning dataset production control...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32938-MS
... the HM process using an innovative approach that includes an additional step that allows the integration of machine learning with a numerical simulation to deliver efficient and superior-quality results for the history match. This solution comprises an ML model and an optimization process that uses...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32936-MS
... data and consider both rule-based and machine-learning (ML) methods, to evaluate formation for lithological and geomechanical heterogeneities. A well from Gulf of Mexico is selected to apply the concept. Results are verified against established log-based formation properties estimation. In wells...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32950-MS
... it as a decision support tool in the management of pre-salt carbonate reservoirs. structural geology brazil government machine learning upstream oil & gas salt tectonics geologist united states government interpolation reactivity artificial intelligence reservoir correlation characteristic...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32917-MS
... estimative. Based on this necessity, we present a regression supervised method to cluster wells. Results were compared with traditional unsupervised clustering methods. The developed method transforms a machine learning unsupervised problem (without a target) into a machine learning regression supervised...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32898-MS
... a daunting task. To address these challenges, Petrobras developed the SmartMonitor platform. SmartMonitor empowers users to create and configure, usually within minutes, online machine learning and first-principles monitoring tasks using a user-friendly, no-code visual programming framework. This approach...
Proceedings Papers

Paper presented at the Offshore Technology Conference Brasil, October 24–26, 2023
Paper Number: OTC-32892-MS
.... This hybrid approach combines the data-driven approaches with machine-learning techniques. Shock and vibration risk assessment algorithms derive the risk levels for each drilling operation under consideration in accordance with industry standards. The integrated PHM algorithms analyze the cumulative risk...

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