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AAPG MC Section Meetings

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Regional Controls on Oil Accumulations, Lower Brushy Canyon Formation, Southeast New Mexico

Ronald F. Broadhead, Heidi A. Justman

West Texas Geological Society

... and will utilize a complex system of neural networks to mathematically analyze imprecise and nonexplicit parameters and values related...

Characterizing a Mississippian Tripolitic Chert Reservoir Using 3D Unsupervised Multi-attribute Seismic Facies Analysis

Atish Roy, Benjamin L. Dowdell, Kurt J. Marfurt

Oklahoma City Geological Society

... attributes and neural networks: The Leading Edge, v. 21, p. 1042–1049. White, G.H., in prep., Calibration of surface seismic attributes to natural...

Seismic to Simulation: Woodford Shale Case Study in Oklahoma, USA

Emilio J. Torres-Parada, Saurabh Sinha, Lennon E. Infante-Paez, Roger M. Slatt, Kurt Marfurt

Unconventional Resources Technology Conference (URTEC)

..., Identifying fault and gas chimneys using multi-attributes and neural networks: The Leading Edge, 20, 474–482. doi:10.1190/1.1438976 Miceli Romero...

Identification and Quantification of Parasequences Using Expectation Maximization Filter: Defining Well Log Attributes for Reservoir Characterization

Saurabh Sinha, Raj Kiran, Javier Tellez, Kurt Marfurt

Unconventional Resources Technology Conference (URTEC)

... using neural networks is that our methodology does not require training from the well logs. As in work workflow, the algorithm depends on distributional...

Permian Delaware Basin Wolfcamp A Formation Productivity Analysis and Technically Recoverable Resource Assessment

Qian Yang, Frank Male, Svetlana A. Ikonnikova, Katie Smye, Guin McDaid, Emery Goodman

Unconventional Resources Technology Conference (URTEC)

... (GBR), and Neural Networks (e.g., Shelly et al., 2014; Gupta et al., 2014; Schuetter et al., 2015; Zhong et al., 2015; Ikonnikova et al., 2018...

Characterization of Hydraulic Fracture Properties in Eagle Ford Shale Oil Reservoir Using EDFM-AI with Two Fracture Design Scenarios

Chuxi Liu, Anuj Gupta, Wei Yu, Ravimadhav N. Vaidya, Ning Li, Kamy Sepehrnoori

Unconventional Resources Technology Conference (URTEC)

... explored simple and basic proxy models such as k-nearest neighbor (KNN), polynomial, and, artificial neural networks (ANN). These proxy models can suffer...

Real Time Torque and Drag Analysis by Combining of Physical Model and Machine Learning Method

Kankan Bai, Honghai Fan, Hongbao Zhang, Fei Zhou, Xingang Tao

Unconventional Resources Technology Conference (URTEC)

... and non time-series data during drilling. Elzenary and Mahmoud Nader (2021) developed down-hole torque models using artificial neural networks (ANN...

Estimation of Stimulated Reservoir Region for Hydraulic Fracturing in Shale Gas Well Based on Ensemble Learning Algorithm

Yang Luo, Bo Kang, Yan Feng, Hehua Wang, Zhongrong Mi, Yi Cheng, Yong Xiao, Xing Zhao, Jianchun Guo, Cong Lu

Unconventional Resources Technology Conference (URTEC)

... predictions. Advances in Neural Information Processing Systems, 2017, 30. Luo Y, Guo J C, Zeng F H, et al., 2022. Optimization method of hydraulic...

Theory and Methodology for Seismic Texture Analysis: Implications for Seismic Facies Visualization and Interpretation

Dengliang Gao

GCAGS Transactions

...: Application to seismic facies visualization and interpretation: Geophysics, v. 69, p. 958-967. Gurney, K., 1997, An introduction to neural networks: UCL...

Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-based Numerical Modeling and Machine Learning

Alireza Haghighat, Toby Burrough

Unconventional Resources Technology Conference (URTEC)

..., Neural Networks, Decision Tree, Support Vector Machine, etc. (Tavasoli, 2024). In this study, the authors utilized an ensemble-tree based algorithm...

AAPG Annual Convention and Exhibition 2020; - Abstracts, #91200 (2022).

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Application of Seismic Attributes and Neural Network for Sand Probability Prediction „ A Case Study in the North Malay Basin

Jianyong Hou, Toshihiro Takahashi, Arata Katoh, Suwit Jaroonsitha, Khun Puvanat Chumsena, Kazuo Nakayama

Geological Society of Malaysia (GSM)

...Application of Seismic Attributes and Neural Network for Sand Probability Prediction „ A Case Study in the North Malay Basin Jianyong Hou, Toshihiro...

Petroleum Analytics Learning Machine to Forecast Production in the Wet Gas Marcellus Shale

Roger N. Anderson, Boyi Xie, Leon Wu, Arthur A. Kressner, Joseph H. Frantz Jr., Matthew A. Ockree, Kenneth G. Brown

Unconventional Resources Technology Conference (URTEC)

... models, nearest neighbors, neural networks and ensemble methods, e.g. random forest and gradient boosting machines (Figure 2), to model oil and gas...

Transfer Learning for Scalable Optimization of Unconventional Field Operations

Hector Klie, Bicheng Yan, Arturo Klie

Unconventional Resources Technology Conference (URTEC)

... approach (MAML) that has been successfully applied for bootstrapping deep neural networks learnings on new classification or regression problems (Finn et al...

Advanced Pulsed Neutron Multifunction Spectroscopy Logging: A Game Changer in Wells Evaluation and Production Enhancement Projects

Chiara Cavalleri

Indonesian Petroleum Association

... based on variational autoencoder frameworks and leveraging expert digital understanding with artificial neural networks (Craddock et al., 2021) can...

Application of Unsupervised-Manifold-Learning for Productivity Driver Evaluation and Production Forecasting in Unconventional Oil Reservoirs

Yang Gao, Yuewei Pan, Jianhua Qin, Enbo Qiu, Wei Ma, Ran Bi

Unconventional Resources Technology Conference (URTEC)

... eigenmaps for dimensionality reduction and data representation. Neural computation, 15(6), 1373-1396. DOI: 10.1162/089976603321780317. Covert, T., 2015...

Hydraulic Fracture Monitoring Using Distributed Acoustic Sensing: A Case Study Using Dip-in Fiber

Chaoyi Wang, Yuanyuan Ma, David Eaton, Kelly MacDougall, Carolyn Furlong

Unconventional Resources Technology Conference (URTEC)

... is used for event detection, based on 2D binary image classification and a convolutional neural network (CNN) using Keras (Chollet et al., 2015...

Adapting Music Recognition Technology for Tops Picking and Quality Control

Alan Lindsey, Morgan Cox, Aaron Hugen

Unconventional Resources Technology Conference (URTEC)

... machine learning techniques, particularly neural networks. It also provides detailed feedback that can potentially identify common log features...

Ensemble Based Workflow for Robust History Matching and Forecasting of Hydraulic Fractured Wells

Kaustubh Shrivastava, Niven Shumaker, Vinil Kumar Reddy Mukku, Priyavrat Shukla, Brandon Tang, Jose Rojas

Unconventional Resources Technology Conference (URTEC)

... of fracture characteristics, propagated far-field from the well through neural network statistical population. The fracturing candidate well (Well...

2019 AAPG Annual Convention and Exhibition

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A new landslide inventory and improved susceptibility model for northeastern Pennsylvania

Bobak Karimi, Michael Yanchuck, and Joshua Foust

Environmental Geosciences (DEG)

...., 2011). Artificial neural networks include a wide range of learning algorithms that have been developed in statistics, and the effectiveness...

Fluid Flow, Pore Pressure, Wettability, and Leakage in Mudstone Cap Rocks

Andrew C. Aplin, Steve R. Larter

AAPG Special Volumes

... artificial neural networks can be used to perform this task.Having considered some of the basic flow properties of mudstones, the second part of the chapter...

Optimization Method for Fracture-Network Design Under Transient and Pseudosteady Condition Using UFD Technique and Deep Learning Approach

Junlei Wang, Yunsheng Wei, Yuewei Pan, Wei Yu

Unconventional Resources Technology Conference (URTEC)

... are used as surrogates. ANN. An artificial neural network (ANN) contains input, hidden and output layers. The neurons of each layer are connected...