... parameter adjustments to accommodate the current drilling environment. 2 5 2021 10 8 2021 2 7 2021 11 11 2021 9 3 2022 Copyright © 2022 Society of Petroleum Engineers neural network machine learning drilling operation upstream oil & gas accuracy reservoir...

... wells. The objective of this paper is to apply machine-learning (ML) tools to increase precision of the APB estimation, and thereby improve the fluid and casing design for APB mitigation in a given well. The APB estimation methods in literature involve theoretical and computational tools...

... hydraulics model to determine the threshold of manageable enlargement. The volume of cavings is determined using a machine-learning (ML)-assisted 3D elastoplastic finite-element model (FEM). The model implementation is first validated through experimental data. Next, a full data set from offset wells is used...

...T. A. Olukoga; Y. Feng Summary There is a great deal of interest in the oil and gas industry (OGI) in seeking ways to implement machine learning (ML) to provide valuable insights for increased profitability. With buzzwords such as data analytics, ML, artificial intelligence (AI), and so forth...

... 14 12 2020 10 12 2020 5 2 2021 8 9 2021 Copyright © 2021 Society of Petroleum Engineers machine learning managed pressure drilling controller artificial intelligence upstream oil & gas mpd system drilling operation fluctuation ukf bulk modulus september 2021...

... analysis results showed that the proposed approach can extract the original pulse signal accurately. 16 8 2020 5 10 2020 2 10 2020 23 12 2020 8 9 2021 Copyright © 2021 Society of Petroleum Engineers mwd drilling data acquisition square wave machine learning...

... for the low-noise scenario. Fig. 5 Estimated and actual states and inputs for the low-noise scenario. machine learning production control drilling fluid management & disposal equation of state production monitoring artificial intelligence managed pressure drilling fluid modeling...

... Copyright © 2021 Society of Petroleum Engineers reservoir characterization wellbore integrity machine learning completion installation and operations fracture complexity oosf fracture artificial intelligence upstream oil & gas communication breakdown pressure wellbore design horizontal...

... data acquisition drilling fluid management & disposal well planning drilling fluids and materials machine learning drilling optimization directional drilling fluid loss control drilling fluid formulation drilling operation bit selection wellbore integrity bit design drilling equipment...

... to unity (Gul et al. 2020 ). drilling fluid chemistry real time system Artificial Intelligence drilling fluid selection and formulation drilling fluid management & disposal machine learning drilling fluids and materials friction factor critical reynolds number characterization...

... conductivity for shale fractures? machine learning proppant hydraulic fracturing fracturing materials fracturing fluid Artificial Intelligence regional sand white sand oil production Upstream Oil & Gas completion fracture conductivity well performance conductivity basin requirement...

...). To the authors’ knowledge, few papers perform this comparative analysis. 22 11 2019 3 2 2020 28 1 2020 6 5 2020 29 10 2019 17 12 2020 Copyright © 2020 Society of Petroleum Engineers machine learning Upstream Oil & Gas Artificial Intelligence regression casing...

... boundaries, frictional torque (FTRQ) and aggressiveness estimation, ROP modeling with analytical equations and machine learning (ML) algorithms [regression, random forests, support vector machines (SVMs), and neural networks], and optimization of drilling parameters. ROP model coefficients and bit and reamer...

... 20 11 2019 24 2 2020 5 2 2020 10 9 2020 Copyright © 2020 Society of Petroleum Engineers machine learning Upstream Oil & Gas median filter hydraulic fracturing accuracy ball seat event neural network event recognition operation tolerance window flag-wise...

... as the experienced engineers. 31 7 2019 16 10 2019 15 10 2019 24 2 2020 5 3 2019 10 9 2020 Copyright © 2020 Society of Petroleum Engineers deep learning information machine learning Shale Shaker Upstream Oil & Gas normalization operation video real time...

... Society of Petroleum Engineers Artificial Intelligence machine learning annular pressure drilling well control controller control mode riser gas flow rate threshold algorithm cbhp controller University Upstream Oil & Gas riser prd controller gas kick pressure control mode...

... ), permeability is k, and the pressure drop is (11) p e − p 1 = q μ B 2 π k h ln r e r w + l p + λ ( r e − l p − r w ) . machine learning Thickness Completion Installation and Operations pressure drop penetration depth Upstream...

... of the flow rate. The outcomes of this investigation can be applied in the field to optimize cleanout operations in horizontal and highly deviated wells. 6 2 2019 9 7 2019 5 7 2019 27 9 2019 26 3 2019 12 3 2020 Copyright © 2020 Society of Petroleum Engineers machine...

... coefficient reduced-order model valve University franchek model coefficient stiffness SPE Drilling machine learning Upstream Oil & Gas regulator Houston health monitoring hydrostatic pressure annular elastomer virtual annular preventer degradation december 2019 The BOP...

... fraction bubble count evolution cement chemistry foamed cement fcg sample machine learning Artificial Intelligence Kutchko application time series void SPE Drilling national energy technology laboratory target quality march 2019 All pressurized foamed-cement generation was completed...