Bi-objective optimization of water management in shale gas exploration with uncertainty: A case study from Sichuan, China

Ren, Kaipeng; Tang, Xu; Jin, Yi; Wang, Jianliang; Feng, Cuiyang; Höök, Mikael

doi:10.1016/j.resconrec.2019.01.003

Cited by 20 publications

(9 citation statements)

References 28 publications

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“…Results showed that the proportion of freshwater usage increases when decision maker wants to decrease the economic costs and fix the satisfaction degree for uncertain constraints. As a result, the environmental costs increase (Ren et al, 2019).…”

Section: Limited Data Resources and Optimal Trialmentioning

confidence: 99%

Cognitive Biases in Understanding the Influence of Shale Gas Exploitation: From Environmental and Economic Perspectives

Lin

Liu

et al. 2021

Front. Energy Res.

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People have higher expectations for shale gas exploitation. However, the promotion of large-scale shale gas exploitation does not seem to be as good as it seems, since the extraction technology - hydraulic fracturing - harms the environment, which causes cognitive biases. This paper reviews studies that estimate the environmental and economic influence of the fracturing process in the U.S. and China to help people better understand the shale gas exploitation. It summarizes the methodological issues and results of main projections. There are shared problems in evaluating the influence of shale gas development due to limited identification methods, data sources and advancing exploitation technologies. Little research values the environmental influence of shale gas development in social benefit or economic benefit. Though varies significantly across various plays and parameter compared with conventional gases, previous researches indicate that water use for shale gas development will not affect the local water supply vastly, and the ultimate influence relies on the water management method. Moreover, compared with conventional natural gas and other energy resources, freshwater consumption about shale gas exploration is decreasing with the progress of exploration technology, while its life-cycle GHG emissions are greater in the long term.

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Section: Limited Data Resources and Optimal Trialmentioning

confidence: 99%

Cognitive Biases in Understanding the Influence of Shale Gas Exploitation: From Environmental and Economic Perspectives

Lin

Liu

et al. 2021

Front. Energy Res.

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“…After the first stage, the resolution of the uncertain parameters is dependent on the development decisions. Therefore, the nonanticipativity constraint is called conditional nonanticipativity constraint (18). To model the conditional NACs, GDP is adopted.…”

Section: Conditional Nonanticipativity Constraintsmentioning

confidence: 99%

“…Drouven et al 17 Since hydraulic fracturing requires large amounts of water and produces a sizeable amount of flowback, there are several works concentrating on water management in shale gas development under uncertainty. Ren et al 18 investigate all the key water-consuming phases in shale gas production and optimize the freshwater use and flowback water control. In their work, a bi-criterion programming model considering both water volume and economic parameter uncertainties are used to define the optimal trade-offs between economic and environmental objectives.…”

mentioning

confidence: 99%

Shale gas field development planning under production profile uncertainty

Peng

Grossmann

et al. 2021

AIChE Journal

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In shale gas field development, the major endogenous uncertainty comes from the production profile of candidate wells and its realization is dependent on the development decision. In this work, we apply multistage stochastic programming to address the shale gas field development planning problem under production profile uncertainty. Business realities such as budget limit and uncertainty resolution delay are also considered in the proposed model. To solve the multistage stochastic model, a Lagrangean decomposition method and a heuristic method are proposed. Computational results demonstrate the efficiency of the proposed methods on examples that are otherwise intractable. The optimal development strategy from the proposed model is analyzed under different levels of uncertainties. Different cases are further tested to figure out the impact of budget and resolution delay on development decisions.

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“…CWT facilities accept and treat UOG wastewater for disposal, discharge, reuse, recycling, or material recovery. 17 As compared to decentralized, on-site wastewater treatment, CWT facilities have better economics of scale and encounter fewer regulatory barriers, 18 because a high wastewater volume is treated, and only a single water quality standard is needed for the entire facility. Like DWI, however, the UOG wastewater needs to be transported to the CWT facility, resulting in transportation costs that render the feasibility of centralized UOG wastewater treatment questionable.…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis of Membrane Distillation Powered by Waste Heat from Natural Gas Compressor Stations for Unconventional Oil and Gas Wastewater Treatment in Weld County, Colorado

et al. 2020

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The effective treatment of unconventional oil and gas (UOG) wastewater is a promising and potentially necessary strategy of wastewater management in the UOG industry. While tremendous efforts have been focused on the development of treatment technologies, logistical considerations such as wastewater transportation have been rarely studied in the literature. In this study, we applied spatial analysis tools based on geographic information systems to quantitatively investigate the effects of transportation distance and cost on centralized wastewater treatment (CWT) and deep-well injection (DWI) in Weld County of Colorado, a major UOG-producing state in the United States. CWT using membrane distillation technology powered by waste heat from natural gas compressor stations (NGCSs) was used as the model wastewater treatment approach in our analysis. By analyzing 7583 active UOG production wells, we demonstrate that the distance and cost of wastewater transportation for CWT are comparable to those for DWI in Weld County and that the comparison between CWT and DWI is dependent on the scale of analysis. We also correlated the waste heat availability with the potential UOG wastewater treatment demand at 35 NGCSs. Our analysis shows that the abundance of available waste heat does not always match wastewater treatment demand at NGCSs, requiring a diversion of wastewater that further increases the transportation distance and cost. Our work indicates the importance of logistical considerations in evaluating the viability of CWT for UOG wastewater management. The spatial analysis framework demonstrated in this study is a critical component complementary to the current efforts of treatment technology development, in order to better evaluate the viability and facilitate wide adoption of UOG wastewater treatment via a systems engineering approach.

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Bi-objective optimization of water management in shale gas exploration with uncertainty: A case study from Sichuan, China

Cited by 20 publications

References 28 publications

Cognitive Biases in Understanding the Influence of Shale Gas Exploitation: From Environmental and Economic Perspectives

Cognitive Biases in Understanding the Influence of Shale Gas Exploitation: From Environmental and Economic Perspectives

Shale gas field development planning under production profile uncertainty

Spatial Analysis of Membrane Distillation Powered by Waste Heat from Natural Gas Compressor Stations for Unconventional Oil and Gas Wastewater Treatment in Weld County, Colorado

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