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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 33, 2011 - Issue 18
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Original Articles

Optimal Well Placement Based on Artificial Neural Network Incorporating the Productivity Potential

B. H. Min Department of Energy Systems Engineering, College of Engineering, Seoul National University, Seoul Korea
,
C. Park Department of Energy Resources Engineering, Kangwon National University, Chuncheon, Kangwondo, Korea
,
J. M. Kang Department of Energy Systems Engineering, College of Engineering, Seoul National University, Seoul Korea
,
H. J. Park Harvest Operations Corp., Calgary, Alberta, Canada
&
I. S. Jang E&P Technology Institute, Korea National Oil Corporation, Anyang, Korea
Pages 1726-1738 | Received 22 Oct 2009, Accepted 06 Nov 2009, Published online: 14 Jul 2011

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Hung Vo Thanh, Yuichi Sugai & Kyuro Sasaki. (2020) Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42:12, pages 1499-1512.
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Jafar Khalighi & Alexey Cheremisin. (2023) Comparative study of machine learning algorithms in predicting asphaltene precipitation with a novel validation technique. Earth Science Informatics 16:4, pages 3097-3111.
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Mahsa Gholami, Mahdi Ranjbargol, Reza Yousefzadeh & Zhaleh Ghorbani. (2023) Integrating three smart predictive models using a power-law committee machine for the prediction of compressive strength in masonry made of clay bricks and cement mortar. Structures 55, pages 951-964.
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Changgyun Son, Seunghee Lee, Joonyi Kim & Jonggeun Choe. (2023) Two-stage sampling scheme for a CNN-based well placement optimization of 3D benchmark reservoirs. Geoenergy Science and Engineering 225, pages 211677.
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Abouzar Mirzaei-Paiaman & Behzad Ghanbarian. (2022) A new method for characterizing dynamic reservoir quality: Implications for quality maps in reservoir simulation and rock type classification. Journal of Petroleum Science and Engineering 218, pages 111049.
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Moisés Dantas Dos Santos & Iasmim Cristina da Silva Freitas. (2022) Strategy for positioning wells using a quality map in hydraulic flow units. Rio Oil and Gas Expo and Conference 22:2022, pages 30-31.
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Qiangqiang Mao, Xiaohua Ma & Yuhe Wang. (2022) A decision support engine for infill drilling attractiveness evaluation using rule-based cognitive computing under expert uncertainties. Journal of Petroleum Science and Engineering 208, pages 109671.
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Edvaldo F. M. Neto, Gustavo P. Oliveira, Rafael M. Magalhães, Leonardo V. Batista, Lucídio A. F. Cabral & Moisés D. Santos. (2021) Cumulative oil production in flow unit-crossing wells estimated by multilayer perceptron networks. Journal of Petroleum Exploration and Production Technology 11:5, pages 2259-2270.
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Waldir L. Roque & Cristina P. Araújo. (2020) Production simulations based on a productivity potential proxy function: An application to UNISIM-I-D and PUNQ-S3 synthetic reservoirs. Journal of Petroleum Exploration and Production Technology 11:1, pages 399-410.
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Min-gon Chu, Baehyun Min, Seoyoon Kwon, Gayoung Park, Sungil Kim & Nguyen Xuan Huy. (2020) Determination of an infill well placement using a data-driven multi-modal convolutional neural network. Journal of Petroleum Science and Engineering 195, pages 106805.
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Seoyoon Kwon, Gayoung Park, Youngho Jang, Jinhyung Cho, Min-gon Chu & Baehyun Min. (2020) Determination of oil well placement using convolutional neural network coupled with robust optimization under geological uncertainty. Journal of Petroleum Science and Engineering, pages 108118.
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Joonyi Kim, Hyungjun Yang & Jonggeun Choe. (2020) Robust optimization of the locations and types of multiple wells using CNN based proxy models. Journal of Petroleum Science and Engineering 193, pages 107424.
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Syamil Mohd Razak & Behnam Jafarpour. (2020) Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios. Computational Geosciences 24:4, pages 1625-1649.
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Jaejun Kim, Sungil Kim, Changhyup Park & Kyungbook Lee. (2020) Construction of prior models for ES-MDA by a deep neural network with a stacked autoencoder for predicting reservoir production. Journal of Petroleum Science and Engineering 187, pages 106800.
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Dongkwon Han, Jihun Jung & Sunil Kwon. (2020) Comparative Study on Supervised Learning Models for Productivity Forecasting of Shale Reservoirs Based on a Data-Driven Approach. Applied Sciences 10:4, pages 1267.
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Seil Ki, Jeonggyu Seo, Oukwang Kwon & Ilsik Jang. (2019) Prediction of Missing Tubing Head Pressure Using Recurrent Neural Network. Journal of the Korean Society of Mineral and Energy Resources Engineers 56:5, pages 416-426.
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Sungil Kim, Baehyun Min, Seoyoon Kwon & Min-gon Chu. (2019) History Matching of a Channelized Reservoir Using a Serial Denoising Autoencoder Integrated with ES-MDA. Geofluids 2019, pages 1-22.
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Kyungbook Lee, Jungtek Lim, Seongin Ahn & Jaejun Kim. (2018) Feature extraction using a deep learning algorithm for uncertainty quantification of channelized reservoirs. Journal of Petroleum Science and Engineering 171, pages 1007-1022.
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Seongin Ahn, Changhyup Park, Jaejun Kim & Joe M. Kang. (2018) Data-driven inverse modeling with a pre-trained neural network at heterogeneous channel reservoirs. Journal of Petroleum Science and Engineering 170, pages 785-796.
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Sanghyun Lee, Baehyun Min & Mary F. Wheeler. (2018) Optimal design of hydraulic fracturing in porous media using the phase field fracture model coupled with genetic algorithm. Computational Geosciences 22:3, pages 833-849.
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Ilsik Jang, Seeun Oh, Yumi Kim, Changhyup Park & Hyunjeong Kang. (2017) Well-placement optimisation using sequential artificial neural networks. Energy Exploration & Exploitation 36:3, pages 433-449.
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Baehyun Min, Krupa Kannan & Sanjay Srinivasan. (2017) Quick Screening of Pareto-Optimal Operating Conditions for Expanding Solvent–Steam Assisted Gravity Drainage Using Hybrid Multi-Objective Optimization Approach. Energies 10:7, pages 966.
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Jaejun Kim, Joe Kang, Changhyup Park, Yongjun Park, Jihye Park & Seojin Lim. (2017) Multi-Objective History Matching with a Proxy Model for the Characterization of Production Performances at the Shale Gas Reservoir. Energies 10:4, pages 579.
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Baehyun Min, Changhyup Park, Ilsik Jang, Joe M. Kang & Sunghoon Chung. (2015) Development of Pareto-based evolutionary model integrated with dynamic goal programming and successive linear objective reduction. Applied Soft Computing 35, pages 75-112.
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