Developing risk assessment of push-back designs for an Indonesian coal mine under price uncertainty

Suparno, Fanteri Aji Dharma; Paithankar, Amol; Chatterjee, Snehamoy

doi:10.1063/5.0007060

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…There are three issues with the current method of defining production pits by setting a predetermined price for fixed-grade boundary: (1) assuming a fixed-grade boundary; (2) using nominal (monotonic increasing) prices to determine nested pits; and (3) neglecting the temporal interplay of resource requirements 6 . However, in the process of three-dimensional representation of mineral deposits, uncertainty from commodity prices and geological aspects always exists 7 , inevitably impacting the rationality of mining boundaries. Geological uncertainties persistently exist, which can impact the optimization results of mining boundaries.…”

Section: Introductionmentioning

confidence: 99%

Boundary optimization of inclined coal seam open-pit mine based on the ISSA–LSSVR coal price prediction method

Chen

Wang

Bai

et al. 2023

Sci Rep

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As an important link in the complex system engineering project of open pit mining, the quality of the boundary determines the performance of the project to a large extent. However, changes in economic indicators may raise doubts about the optimality of mining boundaries. In this article, a coal price time series forecasting model that considers some amount of redundancy is proposed, which combines an improved sparrow search algorithm (ISSA) and a least squares support vector regression machine regression (LSSVR) algorithm. The optimal values of the penalty factor and kernel function parameter of the LSSVR model are selected by ISSA, which improves the prediction accuracy and generalization performance of the forecasting model. A multistep decision optimization method under fluctuating coal price conditions is proposed, and the model prediction results are applied to the boundary optimization design process. Using the widely applied block model as the basis, a set of optimal production nested pits is obtained, allowing the realm design results to fit the coal price fluctuation trend and further enhance enterprise efficiency. The applicability and effectiveness of this method were verified by taking an ideal two-dimensional model and an inclined coal seam open-pit coal mine in Xinjiang as an example.

show abstract

Section: Introductionmentioning

confidence: 99%

Boundary optimization of inclined coal seam open-pit mine based on the ISSA–LSSVR coal price prediction method

Chen

Wang

Bai

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The conventional method only applies the known and constant data; however, the uncertainty from commodity prices and geological aspects are ignored in the simulation [5] .…”

mentioning

confidence: 99%

Application of coal price prediction method based on ISSA-LSSVR method in state optimization design of inclined seam open-pit mine

Cao

Wang

Zhao

et al. 2022

Preprint

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As an important link in the complex system engineering project of open-pit mining, the quality of boundary determine the performance of the project to a large extent. However, the traditional design method cannot effectively measure the impact of uncertainties on the realm optimisation process. In this article, a coal price time series forecasting model that considers the amount of redundancy is proposed, which combines an improved sparrow search algorithm (ISSA) and a least squares support vector regression machine regression algorithm (LSSVR). The optimal values of the penalty factor and kernel function parameter of the LSSVR model are selected by ISSA, which improves the prediction accuracy and generalisation performance of the forecasting model. A multi-step decision optimisation method under fluctuating coal price conditions is proposed, and the model prediction results are applied to the boundary optimisation design process. Using the widely applied block model as the basis, a set of optimal production nested pits is obtained and only obtained, allowing the realm design results to fit the coal price fluctuation trend and further enhance the enterprise efficiency. The applicability and effectiveness of the proposed method is verified using an ideal two-dimensional inclined coal seamopencast mine model as an example.

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Developing risk assessment of push-back designs for an Indonesian coal mine under price uncertainty

Cited by 2 publications

References 24 publications

Boundary optimization of inclined coal seam open-pit mine based on the ISSA–LSSVR coal price prediction method

Boundary optimization of inclined coal seam open-pit mine based on the ISSA–LSSVR coal price prediction method

Application of coal price prediction method based on ISSA-LSSVR method in state optimization design of inclined seam open-pit mine

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