Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework
Abstract
In this report, a robust machine-learning-based computational framework that couples multi-layer neural network (MLNN) proxies and a multi-objective particle swarm optimizer (MOPSO) to design water-alternating-carbon dioxide injection (CO2-WAG) projects is presented. The proposed optimization protocol considers various objectives, including oil recovery and CO2 storage volume. Expert MLNN systems are trained and employed as surrogate models of the high-fidelity compositional simulator in the optimization workflow. When multiple objective functions are considered, two approaches are employed to treat the objectives: the weighted sum method and the Pareto-front-based scheme. A field-scale implementation focusing on tertiary recovery in the Morrow B formation at Farnsworth Unit (FWU) is presented. The developed Pareto-optimal solutions indicate the maximal available oil production can be 1.64 × 107 barrels and maximal carbon storage can achieve 2.35 × 107 tons. Trade-offs factor is defined to divide the constructed Pareto front into 4 sections with the trade-off factors’ value ranges from 0.35 to 49.9. This work also compares the optimum solution found by the aggregative objective function and the solution repository covered by the Pareto front that considers the physical and operational constraints and reduces uncertainties involved by the multi-objective optimization process. Our comparison indicates multiple solutions exist to satisfy themore »
- Authors:
-
- New Mexico Tech, Socorro NM (United States). Petroleum Recovery Research Center
- Publication Date:
- Research Org.:
- New Mexico Institute of Mining and Technology, Socorro, NM (United States)
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- OSTI Identifier:
- 1849087
- Alternate Identifier(s):
- OSTI ID: 1759140
- Grant/Contract Number:
- FC26-05NT42591
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Energy
- Additional Journal Information:
- Journal Volume: 279; Journal Issue: C; Journal ID: ISSN 0306-2619
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 10 SYNTHETIC FUELS; Energy & Fuels; Engineering; Carbon dioxide sequestration; CO2-EOR; Multi-objective optimization; Artificial neural network
Citation Formats
You, Junyu, Ampomah, William, and Sun, Qian. Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework. United States: N. p., 2020.
Web. doi:10.1016/j.apenergy.2020.115695.
You, Junyu, Ampomah, William, & Sun, Qian. Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework. United States. https://doi.org/10.1016/j.apenergy.2020.115695
You, Junyu, Ampomah, William, and Sun, Qian. Sun .
"Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework". United States. https://doi.org/10.1016/j.apenergy.2020.115695. https://www.osti.gov/servlets/purl/1849087.
@article{osti_1849087,
title = {Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework},
author = {You, Junyu and Ampomah, William and Sun, Qian},
abstractNote = {In this report, a robust machine-learning-based computational framework that couples multi-layer neural network (MLNN) proxies and a multi-objective particle swarm optimizer (MOPSO) to design water-alternating-carbon dioxide injection (CO2-WAG) projects is presented. The proposed optimization protocol considers various objectives, including oil recovery and CO2 storage volume. Expert MLNN systems are trained and employed as surrogate models of the high-fidelity compositional simulator in the optimization workflow. When multiple objective functions are considered, two approaches are employed to treat the objectives: the weighted sum method and the Pareto-front-based scheme. A field-scale implementation focusing on tertiary recovery in the Morrow B formation at Farnsworth Unit (FWU) is presented. The developed Pareto-optimal solutions indicate the maximal available oil production can be 1.64 × 107 barrels and maximal carbon storage can achieve 2.35 × 107 tons. Trade-offs factor is defined to divide the constructed Pareto front into 4 sections with the trade-off factors’ value ranges from 0.35 to 49.9. This work also compares the optimum solution found by the aggregative objective function and the solution repository covered by the Pareto front that considers the physical and operational constraints and reduces uncertainties involved by the multi-objective optimization process. Our comparison indicates multiple solutions exist to satisfy the objective criteria of the WAG design, and these results cannot be found using the traditional weighted sum method. The Pareto front solution can provide more options for project designers, but decisions regarding necessary trade-offs must be made using the solution repository to balance the project economics and CO2 storage amount.},
doi = {10.1016/j.apenergy.2020.115695},
journal = {Applied Energy},
number = C,
volume = 279,
place = {United States},
year = {Sun Sep 06 00:00:00 EDT 2020},
month = {Sun Sep 06 00:00:00 EDT 2020}
}
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Works referenced in this record:
What Can History Teach Us? A Retrospective Examination of Long-Term Energy Forecasts for the United States
journal, November 2002
- Craig, Paul P.; Gadgil, Ashok; Koomey, Jonathan G.
- Annual Review of Energy and the Environment, Vol. 27, Issue 1
Optimization using surrogate models and partially converged computational fluid dynamics simulations
journal, February 2006
- Forrester, Alexander I. J.; Bressloff, Neil W.; Keane, Andy J.
- Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 462, Issue 2071
Global optimization of multiphase flow networks using spline surrogate models
journal, January 2016
- Grimstad, Bjarne; Foss, Bjarne; Heddle, Richard
- Computers & Chemical Engineering, Vol. 84
Factors That Control Condensate Production From Shales: Surrogate Reservoir Models and Uncertainty Analysis
journal, December 2015
- Panja, Palash; Deo, Milind
- SPE Reservoir Evaluation & Engineering, Vol. 19, Issue 01
Developing a Robust Surrogate Model of Chemical Flooding Based on the Artificial Neural Network for Enhanced Oil Recovery Implications
journal, January 2015
- Ahmadi, Mohammad Ali
- Mathematical Problems in Engineering, Vol. 2015
Recurrent neural networks and robust time series prediction
journal, March 1994
- Connor, J. T.; Martin, R. D.; Atlas, L. E.
- IEEE Transactions on Neural Networks, Vol. 5, Issue 2
The role of CO2 capture and utilization in mitigating climate change
journal, April 2017
- Mac Dowell, Niall; Fennell, Paul S.; Shah, Nilay
- Nature Climate Change, Vol. 7, Issue 4
Support Vector Machines Framework for Predicting the PVT Properties of Crude Oil Systems
conference, March 2007
- El-Sebakhy, Emad Ahmed; Sheltami, Tarek; Al-Bokhitan, Said Y.
- SPE Middle East Oil and Gas Show and Conference, All Days
Determinants of carbon dioxide emissions: Empirical evidence from 69 countries
journal, January 2011
- Sharma, Susan Sunila
- Applied Energy, Vol. 88, Issue 1
Co-optimization of enhanced oil recovery and carbon sequestration
journal, November 2011
- Leach, Andrew; Mason, Charles F.; Veld, Klaas van ‘t
- Resource and Energy Economics, Vol. 33, Issue 4
A multi-objective optimization for green supply chain network design
journal, May 2011
- Wang, Fan; Lai, Xiaofan; Shi, Ning
- Decision Support Systems, Vol. 51, Issue 2
IEA World Energy Outlook 2011—A comment
journal, September 2012
- Khatib, Hisham
- Energy Policy, Vol. 48
Handling multiple objectives with particle swarm optimization
journal, June 2004
- Coello, C. A. C.; Pulido, G. T.; Lechuga, M. S.
- IEEE Transactions on Evolutionary Computation, Vol. 8, Issue 3
Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion
journal, November 2012
- Ali Ahmadi, Mohammad; Golshadi, Mohammad
- Journal of Petroleum Science and Engineering, Vol. 98-99
An algorithm for the use of surrogate models in modular flowsheet optimization
journal, October 2008
- Caballero, José A.; Grossmann, Ignacio E.
- AIChE Journal, Vol. 54, Issue 10
Optimum design of CO2 storage and oil recovery under geological uncertainty
journal, June 2017
- Ampomah, W.; Balch, R. S.; Cather, M.
- Applied Energy, Vol. 195
Prediction of storage efficiency on CO2 sequestration in deep saline aquifers using artificial neural network
journal, January 2017
- Kim, Youngmin; Jang, Hochang; Kim, Junggyun
- Applied Energy, Vol. 185
Energy consumption and greenhouse gas emissions in the recovery and extraction of crude bitumen from Canada’s oil sands
journal, April 2015
- Nimana, Balwinder; Canter, Christina; Kumar, Amit
- Applied Energy, Vol. 143
The weighted sum method for multi-objective optimization: new insights
journal, December 2009
- Marler, R. Timothy; Arora, Jasbir S.
- Structural and Multidisciplinary Optimization, Vol. 41, Issue 6
Opportunities for Using Anthropogenic CO 2 for Enhanced Oil Recovery and CO 2 Storage
journal, March 2013
- Godec, Michael L.; Kuuskraa, Vello A.; Dipietro, Phil
- Energy & Fuels, Vol. 27, Issue 8
Large CO2 Sinks: Their role in the mitigation of greenhouse gases from an international, national (Canadian) and provincial (Alberta) perspective
journal, December 1998
- Gunter, W. D.; Wong, S.; Cheel, D. B.
- Applied Energy, Vol. 61, Issue 4
A review of physical modelling and numerical simulation of long-term geological storage of CO2
journal, November 2011
- Jiang, Xi
- Applied Energy, Vol. 88, Issue 11
Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption
journal, October 2007
- Azadeh, A.; Tarverdian, S.
- Energy Policy, Vol. 35, Issue 10
Multiobjective Optimization of Industrial Petroleum Processing Units Using Genetic Algorithms
journal, January 2014
- Ivanov, Stanislav Y.; K. Ray, Ajay
- Procedia Chemistry, Vol. 10
Energy consumption and CO2 emissions in Turkey: Empirical analysis and future projection based on an economic growth
journal, December 2006
- Say, Nuriye Peker; Yücel, Muzaffer
- Energy Policy, Vol. 34, Issue 18
The ghost of unbalanced species distribution data in geographical model predictions
journal, September 2006
- Jimenez-Valverde, A.; Lobo, J. M.
-
Diversity
Distributions, Vol. 12, Issue 5
Heterogeneity-assisted carbon dioxide storage in marine sediments
journal, September 2018
- Dai, Zhenxue; Zhang, Ye; Bielicki, Jeffrey
- Applied Energy, Vol. 225
Review: Multi-objective optimization methods and application in energy saving
journal, April 2017
- Cui, Yunfei; Geng, Zhiqiang; Zhu, Qunxiong
- Energy, Vol. 125
Multi-objective global optimization for hydrologic models
journal, January 1998
- Yapo, Patrice Ogou; Gupta, Hoshin Vijai; Sorooshian, Soroosh
- Journal of Hydrology, Vol. 204, Issue 1-4
Forecasting of CO2 emissions from fuel combustion using trend analysis
journal, December 2010
- Köne, Aylin Çiğdem; Büke, Tayfun
- Renewable and Sustainable Energy Reviews, Vol. 14, Issue 9
Non-Dominated Ranked Based Genetic Algorithm Multi-Objective Well Placement Optimization
conference, January 2019
- Rostamian, A.; Jamshidi, S.; Kamari, M.
- 81st EAGE Conference and Exhibition 2019
Gradient-based multi-objective optimization with applications to waterflooding optimization
journal, September 2015
- Liu, Xin; Reynolds, Albert C.
- Computational Geosciences, Vol. 20, Issue 3
Surrogate modeling-based optimization for the integration of static and dynamic data into a reservoir description
journal, August 2002
- Queipo, Nestor V.; Pintos, Salvador; Rincón, Néstor
- Journal of Petroleum Science and Engineering, Vol. 35, Issue 3-4
Building Surrogate Models Based on Detailed and Approximate Simulations
journal, June 2005
- Qian, Zhiguang; Seepersad, Carolyn Conner; Joseph, V. Roshan
- Journal of Mechanical Design, Vol. 128, Issue 4
Geologic Carbon Storage Through Enhanced Oil Recovery
journal, January 2013
- Hill, Bruce; Hovorka, Susan; Melzer, Steve
- Energy Procedia, Vol. 37
Scenario analysis of CO2 emissions from China’s civil aviation industry through 2030
journal, August 2016
- Zhou, Wenji; Wang, Tao; Yu, Yadong
- Applied Energy, Vol. 175
Prospects of carbon capture and storage (CCS) in India’s power sector – An integrated assessment
journal, March 2014
- Viebahn, Peter; Vallentin, Daniel; Höller, Samuel
- Applied Energy, Vol. 117
Generation of a Pareto front for a bi-objective water flooding optimization problem using approximate ensemble gradients
journal, November 2016
- Fonseca, Rahul M.; Reynolds, Albert C.; Jansen, Jan Dirk
- Journal of Petroleum Science and Engineering, Vol. 147
Assessment of Enhanced Oil Recovery and CO2 Storage Capacity Using Machine Learning and Optimization Framework
conference, June 2019
- You, Junyu; Ampomah, William; Kutsienyo, Eusebius Junior
- SPE Europec featured at 81st EAGE Conference and Exhibition, Day 4 Thu, June 06, 2019
Numerical Simulation of Carbon Dioxide Injection in the Western Section of the Farnsworth Unit
journal, January 2014
- White, M. D.; McPherson, B. J.; Grigg, R. B.
- Energy Procedia, Vol. 63
Experimental investigation of miscible and immiscible Water-Alternating-Gas (WAG) process performance
journal, July 2005
- Kulkarni, Madhav M.; Rao, Dandina N.
- Journal of Petroleum Science and Engineering, Vol. 48, Issue 1-2
The Modeling and Projection of Primary Energy Consumption by the Sources
journal, July 2014
- Aydin, G.
- Energy Sources, Part B: Economics, Planning, and Policy, Vol. 10, Issue 1
Ensemble-Based Optimization of the Water-Alternating-Gas-Injection Process
journal, June 2016
- Chen, Bailian; Reynolds, Albert C.
- SPE Journal, Vol. 21, Issue 03
An integrated simulation, inference, and optimization method for identifying groundwater remediation strategies at petroleum-contaminated aquifers in western Canada
journal, May 2008
- He, Li; Huang, Guo-he; Zeng, Guang-ming
- Water Research, Vol. 42, Issue 10-11
Evaluation of CO2-EOR Performance and Storage Mechanisms in an Active Partially Depleted Oil Reservoir
conference, June 2019
- Kutsienyo, Eusebius Junior; Ampomah, William; Sun, Qian
- SPE Europec featured at 81st EAGE Conference and Exhibition, Day 4 Thu, June 06, 2019
Production Modeling in the Oil and Natural Gas Industry: An Application of Trend Analysis
journal, January 2014
- Aydin, G.
- Petroleum Science and Technology, Vol. 32, Issue 5
Handling conflicting multiple objectives using Pareto-based evolutionary algorithm during history matching of reservoir performance
journal, January 2015
- Park, Han-Young; Datta-Gupta, Akhil; King, Michael J.
- Journal of Petroleum Science and Engineering, Vol. 125
Optimization of petroleum production networks – Through proxy models and structural constraints
journal, January 2012
- Shamlou, Sheri S.; Gunnerud, Vidar; Conn, Andrew
- IFAC Proceedings Volumes, Vol. 45, Issue 15
A study on the impact of SO2 on CO2 injectivity for CO2 storage in a Canadian saline aquifer
journal, December 2016
- Wang, Zhiyu; Wang, Jinsheng; Lan, Christopher
- Applied Energy, Vol. 184
Scenario analysis of urban energy saving and carbon abatement policies: A case study of Beijing city, China
journal, January 2012
- Feng, Y. Y.; Zhang, L. X.
- Procedia Environmental Sciences, Vol. 13
The Development and Validation of Regression Models to Predict Energy-related CO 2 Emissions in Turkey
journal, September 2014
- Aydin, G.
- Energy Sources, Part B: Economics, Planning, and Policy, Vol. 10, Issue 2
CO 2 Accounting and Risk Analysis for CO 2 Sequestration at Enhanced Oil Recovery Sites
journal, June 2016
- Dai, Zhenxue; Viswanathan, Hari; Middleton, Richard
- Environmental Science & Technology, Vol. 50, Issue 14
Co-optimization of CO 2 -EOR and storage processes in mature oil reservoirs : Original Research Article: Co-optimization of CO
journal, August 2016
- Ampomah, William; Balch, Robert S.; Grigg, Reid B.
- Greenhouse Gases: Science and Technology, Vol. 7, Issue 1