..., 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...

... 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...

... 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...

... 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...

.... 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...

... 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...

... 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...

... into the vehicle without the risk of loss of detail when implementing mitigations in code, as well as simplifying the validation of the implementation of the mitigating steps. united kingdom government information management brazil government norway government machine learning experiment digital field...

... 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...

... 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...

... data mining clastic rock rock type artificial intelligence geologist geological subdiscipline machine learning constraint derisk offshore wind energy development offshore wind power stakeholder visualization campos basin platform algorithm catalog decision-making sedimentology...

... 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...

... 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...

... 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...

... Intelligence (AI) to develop Machine Learning (ML) models to solve challenging issues in the various industrial sectors and in academia has skyrocketed, and for a good reason as well. As time has gone on, it has become clear that the "fourth industrial revolution" is the digital transformation, which...

.... 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...

... Solutions". transformation knowledge management upstream oil & gas programming language pillar efficiency brazil government machine learning digital transformation solution operator competitiveness specialist offshore technology conference perpetuate operational efficiency gain...

... classification, incorporating new techniques of artificial intelligence. The proposed classifier is already in use in Petrobras for offshore DDR classification. drilling operation machine learning deep learning natural language upstream oil & gas machine translation classification bert bilstm...

... optimization algorithm (IDLHC) with machine learning (ML) to robustly optimize the well's bottom-hole pressure (BHP) throughout the field management period. The method is applied to the UNISIM-I-M benchmark of Namorado Field, located in the Campos Basin, Brazil. The IDLHC-MLR method trains the initial ML model...

... on their developments and impacts. After all, what better force to combat instability than a stable technological horizon? This article, in the meantime, aims to discuss some technical and legal aspects of the introduction of AI - Artificial Intelligence - and ML - Machine Learning - technologies in the oil and gas...