Snehamoy Chatterjee

Michigan Technological University | MTU · Department of Geological/Mining Engineering & Sciences

Commodities prices are pivotal to the mineral investment decision and have a considerable impact on mining companies' financial performance and countries that depend on mineral resources. Therefore, understanding the future mineral price movement is critical for revenue-based planning both for the company and the country. In this article, the Autor...

Data-driven geospatial liquefaction models are useful tools for real-time post-event impact and regional seismic hazard assessments. Geospatial liquefaction models are based on liquefaction occurrence inventories, widely available geospatial variables and earthquake-specific parameters. We have updated our inventory with geospatial data from non-li...

Accurate rainfall estimates are required to forecast the spatio-temporal distribution of rain-triggered landslides. In this study, a comparison between rain gauge and satellite rainfall data for assessing landslide distribution in a data-sparse region, the mountainous district Idukki, along the Western Ghats of southwestern India, is carried out. G...

Multiple-point (geo) statistics (MPS) have wide-scale applications in mineral resource modeling for different commodities. MPS proves effective in capturing the spatial continuity of orebody, lithology, and mineralogy, compared to two-point geostatistics. Although significant large numbers of software packages are available for two-point geostatist...

Open pit mine production scheduling is a computationally expensive large-scale mixed-integer linear programming problem. This research develops a computationally efficient algorithm to solve open pit production scheduling problems under uncertain geological parameters. The proposed solution approach for production scheduling is a two-stage process....

Oceans cover 70% of Earth's surface, setting it apart from the other terrestrial planets in the solar system, but the mechanisms driving oceanic chemical evolution through time remain an important unresolved problem. Imbalance in the strontium cycle, introduced, for example, by increases in continental weathering associated with mountain building,...

Background: This study deals with some factors that influence the exposure of whole-body vibration (WBV) of dumper operators in surface mines. The study also highlights the approach to improve the multivariate linear analysis outcomes when collinearity exists between certain factor pairs. Material and Methods: A total number of 130 vibration readin...

Background Studies regarding predictors of underground continuous miner technology-related injuries have been scarce in number, especially from the human error perspective. This study deals with risk factors (personal, including behavioral and work organizational) that influence human error and evaluates those risk factors as predictors of injury o...

This study aims to understand human behaviors and associated injury causing factors in underground mines using data analytics of historical mining data. Decision tree and association rule were used to provide a statistical analysis of leading factors of hazards in underground mines. Based on the results, we were able to explore hazard feature ident...

We have utilized spectral bands of Advanced Visible Infrared Imaging Spectroradiometer Next Generation sensor (AVIRIS-NG) to identify surface signatures of new kimberlite. The main focus of the work is to identify the surface signatures of probable kimberlite occurrence and to substantiate these surface signatures as the prospective areas of detail...

The successful implementation of Spectral Matching Measures (SMMs) often plays a crucial role in material discrimination and classification using hyperspectral dataset. The commonly exploited SMMs, such as Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), and their hybrid, i.e., SIDSAMtan, show limited discrimination ability while...

In this study, we have processed the spectral bands of airborne hyperspectral data of Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data for delineating the surface signatures associated with the base metal mineralization in the Pur-Banera area in the Bhilwara district, Rajasthan, India.The primaryhost rocks of the Cu,...

We present an optimal integration of multi-sensor datasets, including Advanced Spaceborne Thermal and Reflection Radiometer (ASTER), Phased Array type L-band Synthetic Aperture Radar (PALSAR), Sentinel-1, and digital elevation model for lithological classification using Machine Learning Models (MLMs). Different input features such as spectral, spec...

We propose a pixel-based multiple-point simulation algorithm for stochastic simulation of near surface fractures using seismic radial anisotropy as secondary information. The method borrows information from the training image of the fracture and anchoring within the secondary radial anisotropy data using wavelet-based multiple-point simulation fram...

The aim of a mining complex optimization is to maximize the economic value of the mining project as a whole. To maximize the economic value, it is required to simultaneously optimize the mining extraction sequence and destination of the material into various processing streams. This work presents a global optimization model to simultaneously optimi...

In this study, we have explored the utility of advanced hyperspectral, dual-polarized microwave, and advanced multispectral data to delineate potential areas of mineralization associated with the lode type gold deposit in Hutti-Maski Schist Belt Karnataka, India. We derived different image-enhanced products using visible-nearinfrared (VNIR) and sho...

Coal is heterogeneous in nature, and thus the characterization of coal is essential before its use for a specific purpose. Thus, the current study aims to develop a machine vision system for automated coal characterizations. The model was calibrated using 80 image samples that are captured for different coal samples in different angles. All the ima...

In this study, we processed visible near-infrared (VNIR) and shortwave infrared (SWIR) bands of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data to delineate glauconite-bearing zones in fossiliferous limestones, Quaternarysediments and Paleogene shales in the Lakhpat. Region of the Kachchh Province in India. Glauconitic l...

In this study, we have explored the utility of advanced hyperspectral, dual-polarized microwave, and advanced multispectral data to delineate potential areas of mineralization associated with the lode type gold deposit in Hutti-Maski Schist Belt Karnataka, India. We derived different image-enhanced products using visible-near-infrared (VNIR) and sh...

One of the critical jobs in the mine planning and design is to optimize an open pit mine under many uncertain factors. This paper explains the incorporation process of the volatility of commodity price or market uncertainty into production phase design and ultimate pit limit using a maximum flow minimum cut algorithm. The Ornstein-Uhlenbeck (OU) me...

An open pit mining operation is a complex system that constitutes several components or processes. An optimal production sequence that defines timing of extraction and a dynamic cut-off grade policy that defines the supply of materials from sources to destinations within the system are crucial to the success of an operation. In current practice, se...

Orogenic crustal thickening leads to increased continental elevation and runoff into the oceans, but there are fundamental uncertainties in the temporal patterns of thickening through Earth history. U‐Pb age and trace element data in detrital zircons from Antarctica are consistent with recent global analyses suggesting two dominant peaks in average...

Machine manufacturers’ recommendations on maintenance strategies of capital-intensive draglines are not always based on real data and therefore lead to losses from downtime. This paper proposes a preventive maintenance strategy for a dragline deployed in an opencast coal mine based on reliability-centered maintenance and failure-mode-effects analys...

Dear Colleagues, In the last two decades, several important space-borne hyperspectral and multispectral sensors have been launched by different space agencies. Due to the lack of global coverage of space-borne hyperspectral sensors; routine aircraft-based and drone-based hyperspectral surveys are carried out in different countries using different a...

River sediment produced through weathering is one of the principal landscape modification processes on earth. Rivers are an integral part of the hydrologic cycle and are the major geologic agents that erode the continents and transport water and sediments to the oceans. Estimation of suspended sediment yield is always a key parameter for planning a...

We used Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) hyperspectral data for deriving automated layered igneous intrusion maps by implementing the support vector machine (SVM) algorithm. We proposed a spectral analysis based approach to identify a set of optimum input spectral bands for deriving SVM-based maps of layere...

Geostatistical simulation is an established tool for uncertainty quantification of earth systems modeling. Multiple-point statistical (MPS) algorithms are specifically advantageous when dealing with complexity, and heterogeneity of geological data. This study presents a novel pixel-based MPS method for modeling spatial data. The developed computati...

There are many uncertain factors impacting stability analyses of rock structures. Quantification of these factors significantly impact the engineering decision making process. Some of these factors are spatially distributed within the geological domain, and the quantification of the spatial uncertainty is beneficial for stability analysis of the st...

Major oxides like FeO and TiO2 are critical elements available on the lunar surface, and global mapping of such elements suffers from high uncertainty due to the limited availability of trustable information. The idea of this research study is to correlate limited number of experimental geochemical data (i.e. the weight of iron and titanium oxides)...

Fluid flow and solute transport in geologic environments are vital for natural systems, public well-being, and infrastructure that rely on understanding subsurface hydrology. Fractures strongly affect the hydraulic properties of rocks as they often serve as preferential flow paths for fluids. Therefore, the characterization of subsurface fractures...

In this study, we proposed an automated lithological mapping approach by using spectral enhancement techniques and Machine Learning Algorithms (MLAs) using Airborne Visible Infrared Imaging Spectroradiometer-Next Generation (AVIRIS-NG) hyperspectral data in the greenstone belt of the Hutti area, India. We integrated spectral enhancement techniques...

Simulations and seismic inversions exhibit good performance in reservoir modeling task for the steady performance of conventional techniques. However, they still hardly meet the high demand of petroleum exploration since the impossibility of reaching high resolution both in vertical and lateral directions. Furthermore, simulations can only provide...

In this article, we have processed Landsat-8 spectral bands, ground gravity, and magnetic data for delineating the mafic cumulates within the anorthositic-layered complex in Sittampundi, Tamilnadu, India. In this regard, surface anomaly map of mafic cumulates was derived by processing spectral bands of Operational Land Imager (OLI) sensor using mat...

The estimation of sediment yield is important in design, planning and management of river systems. Unfortunately, its accurate estimation using traditional methods is difficult as it involves various complex processes and variables. This investigation deals with a hybrid approach which comprises genetic algorithm-based artificial intelligence (GA-A...

Estimation of sediment yield is essential towards understanding the mass balance between the ocean and land. Direct measurement of suspended sediment is difficult as it needs sufficient time and money. The suspended sediment yield depends on a number of variables, and their inter-relationships are highly non-linear and complex in nature. In this pa...

Fractures strongly affect the hydraulic properties of rocks as they often serve as preferential flow paths for fluids. Therefore, the characterization of subsurface fractures is crucial to understand fluid flow in the geological environments. Seismic radial anisotropy that is defined with respect to the difference between the velocity of a vertical...

The present study exploits high-resolution hyperspectral imagery acquired by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) sensor from the Hutti-Maski gold deposit area, India, to map hydrothermal alteration minerals. The study area is a volcanic-dominated late Archean greenstone belt that hosts major gold mineraliz...

The life-of-mine optimization of open pit mine production scheduling under geological uncertainty is a computationally intensive process. Production scheduling determines the optimal extraction sequence by maximizing net present value (NPV). In this paper, an algorithm is proposed to schedule an open pit mine under geological uncertainty, where ins...

The mineral industry needs fast and efficient mineral quality monitoring equipment, and a machine vision system could be a suitable alternative to the traditional quality monitoring system. This study attempts to develop a machine vision-based expert system using support vector machine regression (SVR) model for the online quality monitoring of iro...

The spatial distribution of diffuse soil degassing from a volcanic source and quantifying of the amount of gas release are key aspects for understanding the gas release pattern. The measurement of the entirety of a particular area of interest cannot be possible due to obvious logistical and economic restrictions. To reduce the logistic and economic...

Production scheduling is a critical activity for the long-term production planning of open pit mining operations. It deals with the effective management of resources and maximizes cash flows to generate higher profits over the life of a mine. Production scheduling problems determine that blocks be mined and processed over a number of periods subjec...

The contrast in the emissivity spectra of phosphorite and associated carbonate rock can be used as a guide to delineate phosphorite within dolomite. The thermal emissivity spectrum of phosphorite is characterized by a strong doublet emissivity feature with their absorption minima at 9 µm and 9.5 µm; whereas, host rock dolomite has relatively subdue...

The contrast in the emissivity spectra of phosphorite and associated carbonate rock can be used as a guide to delineate phosphorite within dolomite. The thermal emissivity spectrum of phosphorite is characterized by a strong doublet emissivity feature with their absorption minima at 9 µm and 9.5 µm; whereas, host rock dolomite has relatively subdue...

In this article, we discuss the potential of airborne hyperspectral data in mapping host rocks of mineral deposits and surface signatures of mineralization using AVIRIS-NG data of a few important geological provinces in India. We present the initial results from the study sites covering parts of northwest India, as well as the Sittampundi Layered...

The aim of the present study is to analysing the effect of water absorption on iron ore samples in the performances of SVM-based machine vision system. Two types of SVM-based machine vision system (classification and regression) were designed and developed, and performances were compared with dry and wet ore sample images. The images of the ore sam...

Fractures are crucial to characterize fluid flow and solute transport in the geological environments, and estimate the hydraulic properties of fractured-rock formations. Seismic radial anisotropy can be used as a strong attribute for forecasting fractures. The seismic radial anisotropy refers to the differences in the estimated S-wave velocities ob...

The accurate classification of iron ores is one of the challenging tasks in the mining industry, and at the same time, it is essential for the future destination of the ores. The present study attempts to develop a machine-vision-based system, combining feature extraction, feature selection, and image classification, in order to predict the class o...

The estimation of sediment yield is important in the design, planning and management of river systems. Unfortunately, its accurate estimation using traditional methods is difficult as it involves various complex processes and variables. This investigation deals with a hybrid approach which comprises genetic algorithm-based artificial intelligence (...

Spatial uncertainty analysis is a complex and difficult task for orebody estimation in the mining industry. Conventional models (kriging and its variants) with variogram-based statistics fail to capture the spatial complexity of an orebody. Due to this, the grade and tonnage are incorrectly estimated resulting in inaccurate mine plans, which lead t...

The product of the mining industry (ore) is considered to be the raw material for the metal industry. The destination policy of the raw materials of iron mine is highly dependent on the class of iron ores. Thus, regular monitoring of iron ore class is the urgent need at the mine for accurately assigning the destination policy of raw materials. In m...

Failure of longwall projects in India is attributed to many factors, one among them is the selection of under-rated capacity of powered support. It is evident with the catastrophic failures at longwall project of Kothadih in 1997, Charcha west in 1989 and Dhemomen in 1998 or increase in the existing capacity of the powered support at Balrampur and...

Forecasting of time-to-failure is an important aspect of a mining machine for the performance assessment, fault detection and schedule maintenance. The knowledge of failure time allows more defined arrangement of preventive maintenance. Traditional methods, including lifetime distribution models, fault tree analysis and Markov models, have a limita...

Production scheduling is a crucial aspect of the mining industry. An optimal and efficient production schedule can increase the profits manifold and reduce the amount of waste to be handled. Production scheduling for coal mines is necessary to maintain consistency in the quality and quantity parameters of coal supplied to power plants. Irregularity...

This paper investigates the impact of surface tension gradient on liquid circulation time in a draft tube airlift reactor using dilute alcohol solutions. The experimental work proves the existence of three bubble regimes (Regime I: no bubbles in the downcomer; Regime II: a stagnant swarm of bubbles in the downcomer; Regime III: circulation of bubbl...

A long term production planning of limestone quarry is presented to supply consistent quantity and quality of limestone to a cement plant. A case study from Indian cement industry is presented where the cement plant has a captive limestone quarry. The objectives of this study are: (a) to investigate how long the limestone quarry can alone supply th...

Open pit mine design optimization under uncertainty is one of the most critical and challenging tasks in the mine planning process. This paper describes the implementation of a minimum cut network flow algorithm for the optimal production phase and ultimate pit limit design under commodity price or market uncertainty. A new smoothing splines algori...

This paper demonstrates the effects of chromium content and consolidation temperature on nano-Y2O3 dispersed ferritic alloys 83.0Fe–13.5Cr–2.0Al–0.5Ti (alloy A), 79.0Fe–17.5Cr–2.0Al–0.5Ti (alloy B), 75.0Fe–21.5Cr–2.0Al–0.5Ti (alloy C) and 71.0Fe–25.5Cr–2.0Al–0.5Ti (alloy D) each containing 1% Y2O3 (all in wt%) using mathematical modelling. An artif...

Spatial uncertainty modelling is a complex and challenging job for orebody modelling in mining, reservoir characterization in petroleum, and contamination modelling in air and water. Stochastic simulation algorithms are popular methods for such modelling. In this paper, discrete wavelet transformation (DWT)-based multiple point simulation algorithm...

An automatic cluster number selection algorithm is proposed for multi-point geostatistical simulation. The multi-point simulation is performed by extracting patterns from training image. The computational time of the pattern-based simulation is significantly reduced by dimension reduction of patterns by principal component analysis (PCA). The tradi...

Proper quality planning of limestone raw materials is an essential job of maintaining desired feed in cement plant. Rock-type identification is an integrated part of quality planning for limestone mine. In this paper, a computer vision-based rock-type classification algorithm is proposed for fast and reliable identification without human interventi...

Stochastic simulation of complex geology is addressed through discrete wavelet transformation (DWT) that handles multiscale spatial characteristics in datasets and training images. The simulation of the proposed approach is performed on the frequency (wavelet) domain. A multiscale, multipoint simulation algorithm is proposed in this paper in which...

In this study, a support vector machine (SVM)-based ensemble model was developed for reliability forecasting. The hyperparameters of the SVM were selected by applying a genetic algorithm. Input variables of the SVM model were selected by maximizing the mean entropy value. The diverse members of the ensemble model were obtained by a k-means clusteri...

Simulation of categorical and continuous variables is performed using a new pattern-based simulation method founded upon coding spatial patterns in one dimension. The method consists of, first, using a spatial template to extract information in the form of patterns from a training image. Patterns are grouped into a pattern database and, then, mappe...

This paper proposed a Bayesian method-based structural equation model (SEM) of miners' work injury for an underground coal mine in India. The environmental and behavioural variables for work injury were identified and causal relationships were developed. For Bayesian modelling, prior distributions of SEM parameters are necessary to develop the mode...

Open pit optimisation and scheduling tasks are an important part of mining ventures that have attracted considerable attention in the mining industry in the past couple of decades. The process of determining the optimum pit significantly impacts the calculation of mine life, which involves huge capital investment. This paper addresses the applicati...

This paper demonstrates the convergence of model-based statistics from multiple simulated realizations. Theoretically, the convergence of realization statistics is guaranteed over the number of realizations that are independent among themselves. The rate at which realization-based statistics converges with model-based statistics is important and mu...

Rock-type classification is a challenging and difficult job due to the heterogeneous properties of rocks. In this paper, an image-based rock-type analysis and classification method is proposed. The study was conducted at a limestone mine in western India using stratified random sampling from a case study mine. The analysis of collected sample image...

In this paper a pattern-based stochastic simulation method is presented to model 2D and 3D heterogeneous reservoirs. The method uses a spatial template to extract information in the form of patterns from a training image; i.e., a prior representation of the reservoir. The patterns are grouped into a pattern database and are classified to reduce the...