Optimal experimental design for reservoir property estimates in geothermal exploration

Seidler, Ralf; Padalkina, Kateryna; Bücker, H. Martin; Ebigbo, Anozie; Herty, Michaël; Marquart, Gabriele; Niederau, Jan

doi:10.1007/s10596-016-9565-4

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…33 These methods involve collecting and analyzing data about the geology and hydrology of the area to identify locations that are most likely to yield a sufficient quantity of high-quality water. 34 However, extensive literature review findings suggest that the data-driven methods provided comparatively better results in assessment of borehole and groundwater related parameters, 35 whereas conventional methods are unable to achieve the desired level of accuracy. 36 Despite all these efforts, the existing literature provides a little guidance on how to find optimal borehole drilling locations while taking into account the stratigraphic uncertainties.…”

Section: Related Workmentioning

confidence: 99%

“…Groundwater is a scarce resource that plays a vital role in fostering economic development. In addition to providing irrigation for over 278.8 million acres of agriculture, groundwater supplies drinking water to over two billion people . Contemporary methods for determining the optimal borehole location rely on a predictive modeling of hydro-geological features .…”

Section: Related Workmentioning

confidence: 99%

“…In addition to providing irrigation for over 278.8 million acres of agriculture, groundwater supplies drinking water to over two billion people. 17 Contemporary methods for determining the optimal borehole location rely on a predictive modeling of hydro-geological features. 18 Predictive analytics facilitate the drilling companies in making the right decisions.…”

Section: Related Workmentioning

confidence: 99%

“… 18 Predictive analytics facilitate the drilling companies in making the right decisions. 19 One of the most successful ways for managing groundwater is determination of accurate groundwater levels. In this context accurate mapping of the groundwater level is essential for water resource management.…”

Section: Related Workmentioning

confidence: 99%

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A New Method for Determination of Optimal Borehole Drilling Location Considering Drilling Cost Minimization and Sustainable Groundwater Management

et al. 2023

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Drilling boreholes for the exploration of groundwater incurs high cost with potential risk of failures. However, borehole drilling should only be done in regions with a high probability of faster and easier access to water-bearing strata, so that groundwater resources can be effectively managed. However, regional strati-graphic uncertainties drive the decision of the optimal drilling location search. Unfortunately, due to the unavailability of a robust solution, most contemporary solutions rely on physical testing methods that are resource intensive. In this regard, a pilot study is conducted to determine the optimal borehole drilling location using a predictive optimization technique that takes strati-graphic uncertainties into account. The study is conducted in a localized region of the Republic of Korea using a real borehole data set. In this study we proposed an enhanced Firefly optimization algorithm based on an inertia weight approach to find an optimal location. The results of the classification and prediction model serve as an input to the optimization model to implement a well-crafted objective function. For predictive modeling a deep learning based chained multioutput prediction model is developed to predict groundwater-level and drilling depth. For classification of soil color and land-layer a weighted voting ensemble classification model based on Support Vector Machines, Gaussian Naïve Bayes, Random Forest, and Gradient Boosted Machine is developed. For weighted voting, an optimal set of weights is determined using a novel hybrid optimization algorithm. Experimental results validate the effectiveness of the proposed strategy. The proposed classification model achieved an accuracy of 93.45% and 95.34% for soil-color and land-layer, respectively. While the mean absolute error achieved by proposed prediction model for groundwater level and drilling depth is 2.89% and 3.11%, respectively. It is found that the proposed predictive optimization framework can adaptively determine the optimal borehole drilling locations for high strati-graphic uncertainty regions. The findings of the proposed study provide an opportunity to the drilling industry and groundwater boards to achieve sustainable resource management and optimal drilling performance.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A New Method for Determination of Optimal Borehole Drilling Location Considering Drilling Cost Minimization and Sustainable Groundwater Management

et al. 2023

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“…Optimal experimental design (OED) is a method of designing experiments which uses an objective approach to elicit data containing "optimal information" for model calibration (Lindley et al, 1956;Kiefer, 1959;Smucker et al, 2018). It is extremely popular in physical sciences such as geosciences (Ushijima and Yeh, 2013;Seidler et al, 2016;Ushijima et al, 2021), mechanical engineering (Wickham et al, 1995;Gupta and Dhingra, 2013), chemical engineering (Rodriguez-Fernandez et al, 2007;Gottu Mukkula and Paulen, 2017;Schenkendorf et al, 2018), etc. In this study, we apply the techniques of OED to cardiac cellular electrophysiology to expedite the development of AP models suitable for both basic research and safety-critical applications.…”

Section: Introductionmentioning

confidence: 99%

Model-driven optimal experimental design for calibrating cardiac electrophysiology models

Lei

Clerx

Gavaghan

et al. 2022

Preprint

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Models of the cardiomyocyte action potential (AP) have contributed immensely to the understanding of heart function, pathophysiology, and the origin of heart rhythm disturbances. However, AP models are nonlinear, complex, and can contain more than a hundred differential equations, making them difficult to parameterise. Therefore, cellular cardiac models have been limited to describing `average cell' dynamics, when cell-specific models would be ideal to uncover inter-cell variability but are too experimentally challenging to be achieved. Here, we focus on automatically designing experimental protocols that allow us to better identify cell-specific maximum conductance values for each major current type—optimal experimental designs—for both voltage-clamp and current-clamp experiments. We show that optimal designs are able to perform better than many of the existing experiment designs in the literature in terms of identifying model parameters and hence model predictive power. For cardiac cellular electrophysiology, this approach will allow researchers to define their hypothesis of the dynamics of the system and automatically design experimental protocols that will result in theoretically optimal designs.

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Technologies for Deep Geothermal Energy

Fink

Heim

2022

SpringerBriefs in Earth System Sciences

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Optimal experimental design for reservoir property estimates in geothermal exploration

Cited by 7 publications

References 25 publications

A New Method for Determination of Optimal Borehole Drilling Location Considering Drilling Cost Minimization and Sustainable Groundwater Management

A New Method for Determination of Optimal Borehole Drilling Location Considering Drilling Cost Minimization and Sustainable Groundwater Management

Model-driven optimal experimental design for calibrating cardiac electrophysiology models

Technologies for Deep Geothermal Energy

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