Geothermal field development optimization under geomechanical constraints and geological uncertainty: Application to a reservoir with stacked formations

S. P. Szklarz; E. G.D. Barros; N. Khoshnevis Gargar; S. H.J. Peeters; J.-D. van Wees; V. van Pul-Verboom

doi:10.1016/j.geothermics.2024.103094

Geothermal field development optimization under geomechanical constraints and geological uncertainty: Application to a reservoir with stacked formations

S. P. Szklarz, E. G.D. Barros^*, N. Khoshnevis Gargar, S. H.J. Peeters, J.-D. van Wees, V. van Pul-Verboom

^*Corresponding author for this work

Netherlands Organisation for Applied Scientific Research

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

In this work, numerical optimization based on stochastic gradient methods is used to assist geothermal operators in finding improved field development strategies that are robust to accounted geological uncertainties. Well types, production rate targets and well locations are optimized to maximize the economics of low-enthalpy heat recovery in a real-life case with stacked reservoir formations. Significant improvements are obtained with respect to the strategy designed by engineers. Imposing fault stability constraints impacts significantly the optimal configurations, with coordinated well rates and placement playing a key role to boost efficiency of geothermal production while keeping stress change effects to acceptable limits.

Original language	English
Article number	103094
Number of pages	17
Journal	Geothermics
Volume	123
DOIs	https://doi.org/10.1016/j.geothermics.2024.103094
Publication status	Published - Nov 2024

Bibliographical note

Publisher Copyright:
© 2024

Funding

This project has been performed as part of the WarmingUP Program subsidized by the Netherlands Enterprise Agency (RVO) in the context of the Multi-Year Mission-Driven Innovation Programs (MMIP4: Sustainable heat and cold in the built environment) subsidy scheme, known at RVO under project number TEUE819001. We would also wish to thank the partners of this specific project in the program: EBN BV, ENGIE Energy Solutions BV, Gemeente Breda, Huisman Geo BV, HVC Warmte BV and Shell Geothermal BV (in alphabetical order) .

Funders	Funder number
Gemeente Breda
HVC Warmte BV
Shell Geothermal BV
ENGIE Energy Solutions BV
Huisman Geo BV
Rijksdienst voor Ondernemend Nederland	TEUE819001

Keywords

Constrained optimization
Fault stability constraints
Field development planning
Optimization under uncertainty
Stacked reservoirs

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.geothermics.2024.103094Licence: CC BY-NC-ND

1-s2.0-S0375650524001822-mainFinal published version, 12.9 MBLicence: CC BY-NC-ND

Cite this

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abstract = "In this work, numerical optimization based on stochastic gradient methods is used to assist geothermal operators in finding improved field development strategies that are robust to accounted geological uncertainties. Well types, production rate targets and well locations are optimized to maximize the economics of low-enthalpy heat recovery in a real-life case with stacked reservoir formations. Significant improvements are obtained with respect to the strategy designed by engineers. Imposing fault stability constraints impacts significantly the optimal configurations, with coordinated well rates and placement playing a key role to boost efficiency of geothermal production while keeping stress change effects to acceptable limits.",

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doi = "10.1016/j.geothermics.2024.103094",

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AU - Szklarz, S. P.

AU - Barros, E. G.D.

AU - Khoshnevis Gargar, N.

AU - Peeters, S. H.J.

AU - van Wees, J.-D.

AU - van Pul-Verboom, V.

PY - 2024/11

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N2 - In this work, numerical optimization based on stochastic gradient methods is used to assist geothermal operators in finding improved field development strategies that are robust to accounted geological uncertainties. Well types, production rate targets and well locations are optimized to maximize the economics of low-enthalpy heat recovery in a real-life case with stacked reservoir formations. Significant improvements are obtained with respect to the strategy designed by engineers. Imposing fault stability constraints impacts significantly the optimal configurations, with coordinated well rates and placement playing a key role to boost efficiency of geothermal production while keeping stress change effects to acceptable limits.

AB - In this work, numerical optimization based on stochastic gradient methods is used to assist geothermal operators in finding improved field development strategies that are robust to accounted geological uncertainties. Well types, production rate targets and well locations are optimized to maximize the economics of low-enthalpy heat recovery in a real-life case with stacked reservoir formations. Significant improvements are obtained with respect to the strategy designed by engineers. Imposing fault stability constraints impacts significantly the optimal configurations, with coordinated well rates and placement playing a key role to boost efficiency of geothermal production while keeping stress change effects to acceptable limits.

KW - Constrained optimization

KW - Fault stability constraints

KW - Field development planning

KW - Optimization under uncertainty

KW - Stacked reservoirs

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Geothermal field development optimization under geomechanical constraints and geological uncertainty: Application to a reservoir with stacked formations

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

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