Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs

E. Artun, Turgay Ertekin, R. Watson, M. Al-Wadhahi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Economic success of an IOR project primarily depends on the effectiveness of the selected method in the reservoir of interest and the way it is deployed. Due to the heavy computational work required for a large number of simulations, it is rather an arduous task to determine optimum design schemes for a given project. Proxy models that mimic reservoir models can potentially offer an opportunity to reduce the number of simulation runs and allow timely reservoir-management decisions to be made. In this study, a high-performance screening/optimization workflow is presented to narrow the ranges of possible scenarios to be modeled using conventional simulation. The workflow proposed consists of three fundamental steps: 1. Creating a knowledge base with simulations for a wide range reservoir characteristics and design scenarios 2. Training neural-network based proxy models with the knowledge base generated in Step 1 3. Using the genetic algorithm to search for the optimum design scenario by evaluating the objective function via proxy models This workflow is applied to the cyclic pressure pulsing process with CO2 and N2 in naturally-fractured reservoirs. Developed proxies are universal such that the range of their applicabilities is extended to a wide spectrum of reservoir characteristics, including initial conditions, well spacing and reservoir fluid types (heavy, black, and volatile). Proxy models proved to be able to predict critical performance indicators such as cumulative oil production, and oil flow rates within high levels of accuracy. The genetic algorithm is coupled with proxy models to maximize the discounted oil volume produced per injected volume for a specified period of operation. After utilizing the aforementioned workflow, it is possible to significantly reduce the computational time and manpower expended with an initial screening of the cyclic pressure pulsing process. In this way, more effective design strategies can be structured for the reservoir under consideration.

Original languageEnglish (US)
Title of host publicationSociety of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009
Pages1991-2004
Number of pages14
StatePublished - Dec 1 2009
EventInternational Petroleum Technology Conference 2009, IPTC 2009 - Doha, Qatar
Duration: Dec 7 2009Dec 9 2009

Publication series

NameSociety of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009
Volume3

Other

OtherInternational Petroleum Technology Conference 2009, IPTC 2009
CountryQatar
CityDoha
Period12/7/0912/9/09

Fingerprint

Screening
Oils
Genetic algorithms
Well spacing
genetic algorithm
simulation
Reservoir management
screening
oil
Flow rate
oil production
Neural networks
Economics
spacing
Fluids
fluid
economics
Optimum design

All Science Journal Classification (ASJC) codes

  • Geochemistry and Petrology
  • Fuel Technology

Cite this

Artun, E., Ertekin, T., Watson, R., & Al-Wadhahi, M. (2009). Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs. In Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009 (pp. 1991-2004). (Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009; Vol. 3).
Artun, E. ; Ertekin, Turgay ; Watson, R. ; Al-Wadhahi, M. / Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs. Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009. 2009. pp. 1991-2004 (Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009).
@inproceedings{28d59a5c7f2f415a9e364ff3109695a7,
title = "Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs",
abstract = "Economic success of an IOR project primarily depends on the effectiveness of the selected method in the reservoir of interest and the way it is deployed. Due to the heavy computational work required for a large number of simulations, it is rather an arduous task to determine optimum design schemes for a given project. Proxy models that mimic reservoir models can potentially offer an opportunity to reduce the number of simulation runs and allow timely reservoir-management decisions to be made. In this study, a high-performance screening/optimization workflow is presented to narrow the ranges of possible scenarios to be modeled using conventional simulation. The workflow proposed consists of three fundamental steps: 1. Creating a knowledge base with simulations for a wide range reservoir characteristics and design scenarios 2. Training neural-network based proxy models with the knowledge base generated in Step 1 3. Using the genetic algorithm to search for the optimum design scenario by evaluating the objective function via proxy models This workflow is applied to the cyclic pressure pulsing process with CO2 and N2 in naturally-fractured reservoirs. Developed proxies are universal such that the range of their applicabilities is extended to a wide spectrum of reservoir characteristics, including initial conditions, well spacing and reservoir fluid types (heavy, black, and volatile). Proxy models proved to be able to predict critical performance indicators such as cumulative oil production, and oil flow rates within high levels of accuracy. The genetic algorithm is coupled with proxy models to maximize the discounted oil volume produced per injected volume for a specified period of operation. After utilizing the aforementioned workflow, it is possible to significantly reduce the computational time and manpower expended with an initial screening of the cyclic pressure pulsing process. In this way, more effective design strategies can be structured for the reservoir under consideration.",
author = "E. Artun and Turgay Ertekin and R. Watson and M. Al-Wadhahi",
year = "2009",
month = "12",
day = "1",
language = "English (US)",
isbn = "9781615678150",
series = "Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009",
pages = "1991--2004",
booktitle = "Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009",

}

Artun, E, Ertekin, T, Watson, R & Al-Wadhahi, M 2009, Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs. in Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009. Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009, vol. 3, pp. 1991-2004, International Petroleum Technology Conference 2009, IPTC 2009, Doha, Qatar, 12/7/09.

Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs. / Artun, E.; Ertekin, Turgay; Watson, R.; Al-Wadhahi, M.

Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009. 2009. p. 1991-2004 (Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs

AU - Artun, E.

AU - Ertekin, Turgay

AU - Watson, R.

AU - Al-Wadhahi, M.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Economic success of an IOR project primarily depends on the effectiveness of the selected method in the reservoir of interest and the way it is deployed. Due to the heavy computational work required for a large number of simulations, it is rather an arduous task to determine optimum design schemes for a given project. Proxy models that mimic reservoir models can potentially offer an opportunity to reduce the number of simulation runs and allow timely reservoir-management decisions to be made. In this study, a high-performance screening/optimization workflow is presented to narrow the ranges of possible scenarios to be modeled using conventional simulation. The workflow proposed consists of three fundamental steps: 1. Creating a knowledge base with simulations for a wide range reservoir characteristics and design scenarios 2. Training neural-network based proxy models with the knowledge base generated in Step 1 3. Using the genetic algorithm to search for the optimum design scenario by evaluating the objective function via proxy models This workflow is applied to the cyclic pressure pulsing process with CO2 and N2 in naturally-fractured reservoirs. Developed proxies are universal such that the range of their applicabilities is extended to a wide spectrum of reservoir characteristics, including initial conditions, well spacing and reservoir fluid types (heavy, black, and volatile). Proxy models proved to be able to predict critical performance indicators such as cumulative oil production, and oil flow rates within high levels of accuracy. The genetic algorithm is coupled with proxy models to maximize the discounted oil volume produced per injected volume for a specified period of operation. After utilizing the aforementioned workflow, it is possible to significantly reduce the computational time and manpower expended with an initial screening of the cyclic pressure pulsing process. In this way, more effective design strategies can be structured for the reservoir under consideration.

AB - Economic success of an IOR project primarily depends on the effectiveness of the selected method in the reservoir of interest and the way it is deployed. Due to the heavy computational work required for a large number of simulations, it is rather an arduous task to determine optimum design schemes for a given project. Proxy models that mimic reservoir models can potentially offer an opportunity to reduce the number of simulation runs and allow timely reservoir-management decisions to be made. In this study, a high-performance screening/optimization workflow is presented to narrow the ranges of possible scenarios to be modeled using conventional simulation. The workflow proposed consists of three fundamental steps: 1. Creating a knowledge base with simulations for a wide range reservoir characteristics and design scenarios 2. Training neural-network based proxy models with the knowledge base generated in Step 1 3. Using the genetic algorithm to search for the optimum design scenario by evaluating the objective function via proxy models This workflow is applied to the cyclic pressure pulsing process with CO2 and N2 in naturally-fractured reservoirs. Developed proxies are universal such that the range of their applicabilities is extended to a wide spectrum of reservoir characteristics, including initial conditions, well spacing and reservoir fluid types (heavy, black, and volatile). Proxy models proved to be able to predict critical performance indicators such as cumulative oil production, and oil flow rates within high levels of accuracy. The genetic algorithm is coupled with proxy models to maximize the discounted oil volume produced per injected volume for a specified period of operation. After utilizing the aforementioned workflow, it is possible to significantly reduce the computational time and manpower expended with an initial screening of the cyclic pressure pulsing process. In this way, more effective design strategies can be structured for the reservoir under consideration.

UR - http://www.scopus.com/inward/record.url?scp=77952414725&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952414725&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781615678150

T3 - Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009

SP - 1991

EP - 2004

BT - Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009

ER -

Artun E, Ertekin T, Watson R, Al-Wadhahi M. Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs. In Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009. 2009. p. 1991-2004. (Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009).