Spatial distribution and reserve estimation of sand and gravel deposits using geostatistical methods in west Basrah, southern Iraq

Article Engineering, Multidisciplinary

THE PERFORMANCE OF ESTIMATION TECHNIQUES FOR NICKEL LATERITE RESOURCE MODELING

Waterman Sulistyana Bargawa

Summary: The choice of estimation technique for block grade of nickel laterite is crucial and should be based on geological conditions and mineralization character. This study evaluates various techniques for estimating block grades and selects the appropriate method for nickel laterite resource classification. The results show that the IDW technique is suitable for the limonite zone, while the NNP technique is suitable for the saprolite zone. The weighted average method can be applied for classifying different levels of nickel resources based on the performance of the estimation technique.

JURNAL TEKNOLOGI-SCIENCES & ENGINEERING (2022)

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Article Geochemistry & Geophysics

Cement Raw Material Reserve Calculation-Geological Sections vs. Structural Maps Approaches, Case Study from Southern Croatia

Nikolina Bralic et al.

Summary: This study compares two approaches for reserve calculation of cement raw material, using geological sections and structural maps. The research concludes that software solutions are more favorable for future volume calculation of cement raw material.

MINERALS (2022)

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Article Geosciences, Multidisciplinary

A comparative study of geometric and geostatistical methods for qualitative reserve estimation of limestone deposit

Thomas Busuyi Afeni et al.

Summary: Mining projects, especially those involving limestone deposits, require accurate knowledge of tonnage and grade for planning purposes. This study compared geometric and geostatistical methods for assessing limestone reserves, finding that the geometric method is effective for tonnage estimation while the geostatistical method is more suitable for grade estimation. The research results are crucial for operational management and cement production scheduling based on accurate projection of raw materials.

GEOSCIENCE FRONTIERS (2021)

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Article

Determination and modeling of lignite reserve using geostatistical analysis and GIS

Mevlut Uyan et al.

Arabian Journal of Geosciences (2021)

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Review Energy & Fuels

Machine Learning-A Review of Applications in Mineral Resource Estimation

Nelson K. Dumakor-Dupey et al.

Summary: Mineral resource estimation involves determining the grade and tonnage of a deposit, with conventional methods and emerging machine learning techniques showing superior performance in approximating complex relationships among geological parameters.

ENERGIES (2021)

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Article Computer Science, Interdisciplinary Applications