This paper presents a novel and versatile framework for building ensemble spatial interpolation functions. As with all ensemble methods, the central idea is to assemble a voting scheme where a set of weak interpolation functions are combined, by using an aggregation function, to produce a strong ensemble response. In the presented scheme, voter interpolation functions are weak because they deal with

Based on water chemistry analyses of five batches of water product samples from eight coalbed methane (CBM) wells of the Songhe well group in the western Guizhou province in 2017, the single-factor index method, the Nemerow index method and the health risk assessment method were used to evaluate the environmental effects of the water product. The results show that the water co-product of the Songhe

In this paper, we explore unsupervised cluster analysis to aid mineral prospectivity mapping (MPM) in two aspects: (1) to cluster geochemical data for MPM based on detailed analysis of evidence maps and (2) to explore coherence of spatial signatures at/around mineralized locations as well as outliers of geochemical data. To do so, a systematic procedure is proposed based on the Iterative Self-organizing

Effective use of the difference between longitudinal and converted shear waves in reservoir sensitivity analysis is a key component to reduce the multi-solution problem of using longitudinal waves only in reservoir characterization. Deep neural network (DNN) is proven to be a powerful tool to solve an end-to-end task in a purely data-driven way, which brings a promising potential in reservoir characterization

Commingled production has been widely used as an efficient production method in gas field. However, the interlayer interference of gas flow seriously restricts the improvement of gas recovery. Presently, there are several investigations on commingled production characteristics of multi-pressure system gas reservoirs, but no corresponding improved production methods have been proposed. In this study

Poland has been estimated to possess large volumes of technically recoverable shale gas resources, which has raised national hopes for increasing energy security and building export capacity. In this paper, we aim to examine political claims and hopes that Poland could achieve natural gas self-sufficiency and even become a gas exporter by harnessing domestic shale potential. We do so by relying on

Coal seam water injection is a critical measure for the prevention of coal-and-gas outbursts. However, the gas–solid–liquid coupling effect in front of the working face before and after water injection during coal mining is scarcely investigated. This issue was explored in this study by (a) numerical simulation of stress, gas pressure, and water saturability distribution as well as their coupling effect

With the increase in mining depth of coal resources, high-temperature thermal damage has become increasingly prominent, and research on geotemperature in mining areas has received increasing attention. At present, simple temperature measurement is the most commonly used well temperature measurement method, but the obtained data cannot be used directly and need to be corrected. According to the thermal

The pore evolution history varies with different types of macerals. The pore characteristics of the Huolinhe lignite of the Erlian Basin were examined under laboratory thermal maturation conditions to study the correlation of coal rank and macerals on pore evolution. Mercury intrusion porosimetry, low-pressure CO2 adsorption, light microscopy, and scanning electron microscopy (SEM) were used to characterize

Mapping mineral prospectivity (MPM) is mostly beset with prediction uncertainties, which are generally categorized into (a) stochastic and (b) systemic types. The stochastic type is usually linked to the low quality as well as insufficiency/inefficiency of data used. In contrast, inaccurate selection of exploration criteria, exaggerated and arbitrary weighting of spatial evidence layers resulting from

Under natural conditions, oil shale with abundant kerogen and bedding planes exhibits obvious mechanical anisotropy. High temperature affects significantly the tensile strength and microstructure of oil shale; therefore, studying the tensile strength of oil shale at different temperatures is necessary. In this study, the tensile strengths σt-par, σt-per, and σt-orth in the temperature range 20–600 °C

In view of the difficult problems encountered in the development of tight oil reservoirs, using natural gas as an energy supplementary agent and adopting Huff-N-Puff (HNP) production methods have shown great application potential in the development of such reservoirs. In this study, we took the Chang-7 tight oil cores as the research object. Then, we choose natural gas (methane or the associated gas)

In this paper, fractal dimension analysis was used to describe pore structure. We proposed a shale water vapor multi-layer adsorption model that considers the control of pore structures. In this respect, the change curve of the water vapor adsorption capacity was found to be consistent with a type II curve. In addition, water vapor adsorption in shale occurs at primary and secondary adsorption sites

Numerical reservoir simulation has been recognized as one of the most frequently used aids in reservoir management. Despite having high calculability performance, it presents an acute shortcoming, namely the long computational time induced by the complexities of reservoir models. This situation applies aptly in the modeling of fractured reservoirs because these reservoirs are strongly heterogeneous

Remote sensing phytochemistry has been proven by many studies to be an effective method for the detection of hidden minerals in vegetation-covered areas. In this study, we determined whether Seriphidium terrae-albae, a small shrub distributed widely in arid deserts, could be an effective sampling medium for application in remote sensing plant geochemistry. The absorption and aggregation characteristics

Knowledge of reservoir rock wettability is crucial for the understanding of fluid displacement mechanisms and for adopting feasible solutions to enhance oil recovery. Highly sensitive to the strength of fluid–rock interactions, nuclear magnetic resonance (NMR) measurements are a well-suited candidate for in situ wettability determination. Changes in correlation coefficients between NMR porosity \(\left(

Accurate modeling of the distribution of induced fractures and pre-existing natural ones in unconventional reservoirs is essential for the analysis of the productivity of horizontal wells after fracturing. A novel approach is proposed here to establish a three-dimensional geological model of induced fractures, natural fractures and the horizontal well using a discrete random distribution method, based

In this work, thermal behaviors of ten coal samples (across different thermal maturity levels) collected from five different open cast mines in the Jharia and Raniganj basins, India, were examined using differential scanning calorimeter (DSC), thermogravimetry (TG–DTG), Rock–Eval, and organo-petrographic techniques. Rank played a critical factor in controlling their thermal behavior, and with increasing

The feasibility of approaches to enhanced oil recovery (EOR) in harsh conditions of reservoirs should be evaluated primarily in the laboratory environment to capture possible failures that threaten the performance of an operation, although such experiments are commonly expensive and time-consuming. This work investigated the application of artificial intelligence in allaying such concerns regarding

In a reliability assessment of hydraulic fracturing, the efficacy of hydraulic fracturing must be evaluated, and the source properties and magnitude of micro-earthquakes induced by hydraulic fracturing in a coal mine need to be quantified. Firstly, the changing trends of the number and energy of micro-seismic events induced by hydraulic fracturing with high-pressure water were examined, and the hydraulic

Choosing a representative subset of realizations can reduce significantly the number of simulations and the computational cost associated with optimization under geological uncertainty. Methods that use dynamic criteria, such as full flow simulators, can choose effectively representative realizations and reduce the number of simulations during optimization. However, these methods are expensive computationally

During production from naturally fractured reservoirs, complex interactions exist between matrix blocks and gas-filled fractures in the gas invaded zone. Considerable efforts such as defining complicated transfer functions between matrix blocks and the fractured medium have been made for a sensible description of this production mechanism. In addition, several studies have revealed that scaling equations

The rapid increase in demand and consumption of groundwater in the past few decades has imposed colossal pressure on the stakeholders responsible for groundwater management. Assessment of groundwater vulnerability and knowledge about hydrogeological settings are crucial for a particular region, especially at a local scale, to manage groundwater resources effectively. The present study aimed to develop

A large-scale vegetation restoration program that was implemented in China’s Loess Plateau has significantly changed ecosystem patterns, resulting in variations in ecosystem services. However, trade-offs among multiple ecosystem services were rarely considered after land-use changes have occurred. To understand the impact of vegetation restoration on those ecosystem services, 139 soil samples were

The coal body structure is one of the key parameters in the exploration and exploitation of coalbed methane (CBM). Accurate identification of the structure of a coal seam is important for CBM exploration and development. In the present study, we collected coal seam logging data and drilling data from six CBM wells in the Laochang block in eastern Yunnan, China. Four logging curves, including gamma-ray

Most petroleum reservoirs contain faults, and a key methodological challenge in full-field reservoir modeling is to include the effects of 3D sub-seismic fault zone structure within the 2D fault surfaces represented in commercially available simulators. To address this shortcoming, connectivity-based geometrical upscaling (GU) is introduced to include these fault zones implicitly in the upscaled reservoir

Water harvesting (WH) and aquifer recharge (AR) have been promoted in recent decades as solutions to the overexploitation of groundwater resources in many countries around the world. Remote sensing (RS) and geographic information system (GIS) technologies with multi-criteria decision analysis (MCDA) enable the analysis of many parameters to identify potential WH and AR sites and suitable zones for

This work attempted to understand the behavior of the Upper Cretaceous Nezzazat and Lower Cretaceous–Carboniferous Nubia sandstone reservoirs in response to production-induced depletion and fluid injection for enhanced hydrocarbon recoveries from the October oil field, Gulf of Suez, Egypt. Pore pressure (PP), vertical stress (Sv) and minimum horizontal stress (Shmin) magnitudes were modeled based on

Coal seam with high dip angle has relatively high permeability anisotropy, which has great impact on the production of coalbed methane. In this study, a laboratory method was established to evaluate the influence of dip angle on coal permeability with three steps. Firstly, five groups of coal columns with different dip angles were obtained by wire cutting technology from the southern Junggar Basin

Well log analysis and production testing in coal are the initial requirements to judge the prospectivity of a coalbed methane (CBM) reservoir. The process of prospect identification through laboratory studies is accurate although it is time-consuming and expensive. Therefore, we developed a methodology to identify prospective coal seam by establishing multiple regression models of geophysical well

Reduction in uncertainty at the boundaries of ore deposits plays a critical role in mining projects. Such reductions can be made by choosing an appropriate objective function and using a suitable method for its optimization. In the literature, only a combined variance-based objective function can be found for modeling the problem of optimally locating additional drill holes to reduce uncertainty at

Blasting plays a fundamental role in rock fragmentation, and it is the first preparatory stage in the mining extraction process. However, its undesirable effects, mostly ground vibration, can cause severe damages to the surroundings, such as cracks/collapses of buildings, instability of slopes, deformation of underground space, affect underground water, to name a few. Therefore, the primary purpose

Crack monitoring is an important issue in coal and rock hydraulic fracturing (HF). In this study, we conducted experimental coal HF acoustic emission (AE) monitoring tests under true triaxial stress by using a self-developed experiment system. The results showed that the AE signal statistical parameters had a good positive correlation with the water pressure curve. Based on the STA/LTA, improved AIC

Fluid percolation conditions in fault zones are often inferred in geologic studies, but the porosity and permeability of rocks are rarely tested during mineral exploration drilling. Routine permeability and porosity tests on drill core, with adequate detection limits and accuracy, can provide new insights into present- and paleo-fluid flow processes and deposit formation in sedimentary basins and permeable

The assessment of mineral resources requires the definition of a geological domain, and the quantitative results obtained should consider geological and grade uncertainties. However, when the available data are limited, it can be difficult to estimate the shape of an ore body owing to the spatial uncertainty. This study describes a methodology for defining geological domains using multiple-point geostatistics

The adsorption kinetic characteristics of CH4, CO2, and N2 in coal provide crucial information for increasing coal seam gas recovery. In this study, isothermal adsorption kinetics experiments were conducted using automatic high-pressure gas adsorption analyzer to reveal differences in adsorption kinetic characteristics of CH4, CO2, and N2 in coal. The research shows that, before reaching adsorption

Organic matter (OM)-hosted pores are the most prevalent pores in organic-rich shale, in which shale gas is generated and stored. Ascertaining the pore structure of OM and its contribution to the shale pore network provides guidance for understanding deeply the complex pore network, as well as the shale gas flow and storage mechanisms. In this study, the pore structure and heterogeneity of Wufeng–Longmaxi

Old gold mines in the Barramiya district, Eastern Desert of Egypt, are associated with NE–SW-trending ophiolitic ultramafic belts and their alteration zones (listvenitization). This paper integrates geophysical aeromagnetic and geological studies, including remote sensing technologies, to explore the potential for planning future development of gold mining in Barramiya, Central Eastern Desert (CED)

Mine blasting discharges considerable amounts of dust, which may impose environmental risks, especially to nearby ecosystems. The present study aimed to develop a hybrid risk assessment approach using the concepts of artificial intelligence, probability, and fuzzy numbers to assess the risks of blast-induced dust emissions to ecosystems surrounding surface mines. An equation was first developed using

Most mining and tunneling projects usually require blasting operations to remove rock mass. Previous studies have mentioned that if the blasting operation is not properly designed, it may lead to several environmental issues, such as ground vibration. This study presents various machine learning (ML) techniques, i.e., hybrid extreme learning machines (ELMs) with the grasshopper optimization algorithm

In this study, a coupling of generalized linear modeling (GLMNET) and nonlinear neural network modeling with multilayer perceptrons (MLPNN), called GLMNETs–MLPNN modeling, was conducted for predicting air over-pressure (AOp) induced by blasting in open-pit mines. Accordingly, six GLMNET models were developed first. Then, their predictions were bootstrap aggregated as the new predictors, and an optimal

Electrical resistivity tomography (ERT) and vertical electrical sounding (VES) techniques were employed to assess the hydrogeological structures and groundwater potential of the Obudu Basement Complex. The Wenner electrode configuration was used to acquire the ERT data along 4 profiles, while the Schlumberger configuration was employed in the VES investigation, where 30 locations were occupied during

Land use and land cover (LULC) changes have significant influences on the water–energy–food (WEF) nexus, as the WEF nexus characteristics change naturally due to dynamic LULC changes. However, understanding the WEF nexus’ potential and characteristics in the watershed under the influence of LULC changes is less commonly explored. This study used the social network analysis (SNA) model to analyze the

The excellent performance of convolutional neural network (CNN) and its variants in image classification makes it a potential perfect candidate for dealing with multi-geoinformation involving abundant spatial information. In this paper, we tested, for data-driven mineral prospectivity mapping, the efficacy of using unsupervised convolutional auto-encoder network (CAE) to support CNN modeling for synthesis

On the premise that the point of the maximum abutment pressure is the demarcation point of gas migration, an experimental research was conducted on gas-bearing coal by using a thermo-fluid–solid coupling test system. The research results demonstrate that irreversible strain and elastic modulus increase with increase in unloading level. The damage variable defined based on change laws of permeability

Low-salinity waterflooding (LSWF) has, in the past decade, attained a lot of attention to enhance oil recovery. In LSWF, diluted water is injected into an oil reservoir to improve oil recovery. The injected low-saline water changes the wettability of the reservoir, which leads to higher oil recovery. The recovery of an oil reservoir can be predicted from simulators, which are tedious, expensive, and

Regional groundwater monitoring in the Athabasca region of Alberta, Canada, provides information on groundwater quality and geochemical changes over time, including data useful for evaluating potential impacts of industrial activity such as oil sands mining and in situ operations. Data collected from over 5000 wells from the 1950s to 2014, including 161 wells from government’s monitoring network, were

The Hangzhou Bay New Area is located in a coastal plain area where the groundwater storage environment is relatively fragile and lacks water resources. Recognizing the regularity of groundwater circulation in this area and conducting an analysis of the evolution of groundwater quality can provide support for its potential as an emergency groundwater source. In order to assess the impact of emergency

The demand for groundwater resources has increased owing to global developments of urbanization, industry, and agriculture. There is thus a need for advanced geophysical techniques that can be used for accurate surveying of groundwater resources. Although electric sounding has been a standard technique in surveying, it is still difficult to specify the groundwater table and aquifer distribution accurately

Waterflooding is one of the most common secondary recovery methods in the oil and gas industry. Globally, this process sometimes suffers a technical failure and inefficiency. Therefore, a better understanding of geology, reservoir characteristics, rock typing and discrimination, hydraulic flow units, and production data is essential to analyze reasons and mechanisms of water injection failure in the

This work addresses the practice of resource calculation for geometallurgical variables. Similar to mineral resource modeling, estimation domains for geometallurgical variables should be identified first. Then, the geometallurgical variables that are deemed homogeneous need to be modeled separately in each domain. A difficulty for this is related to the geometallurgical variables that can rarely be

Accurate prediction of the spatial distribution of permeability of coal reservoirs using scare data from wells for coalbed methane exploration and development can lay a foundation for evaluating its gas production potential. By taking the #3 coal seam in the southern Shizhuang area in Qinshui Basin (Shanxi Province, China) as a research area, 23 key interpolation points that control the permeability

Groundwater level forecasting is a paramount necessity for integrated management of a basin. Development of suitable models is an essential step in determining groundwater level fluctuations in the future. The main objective of this study was to provide a powerful hybrid model by combining the group method of data handling (GMDH) and certain signal processing techniques, i.e., ensemble empirical mode

This work integrates seismic and well log data to establish a 3D reservoir model of the Q-Field, which is a prolific onshore hydrocarbon field situated in the Central Swamp Depobelt of Nigeria. The subsurface modeling focuses on the four principal clastic reservoir intervals of the Agbada Formation (D6200, D7000, D9000 and E2000), which was deposited in a deltaic to fluvio-deltaic system during Eocene

The identification of parameters that affect mining is one of the requirements in executive work in this field. Due to the dangers of flyrock, studying the role of the factors that affect it will be useful to control this serious environmental issue of blasting. In this research, using hybrid intelligence techniques, a new guide to investigate the parameters that affect the occurrence and characteristics

With the depletion of mineral resources on land, seafloor massive sulfide deposits have the potential to become as important for exploration, development and mining as those on land. However, it is difficult to investigate the ocean environment where seafloor massive sulfide deposits are located. Thus, improving prospecting efficiency by reducing the exploration search space through mineral prospectivity

With the increasing depth of underground engineering, the risk of coal–rock dynamic disasters such as rockburst is becoming more and more serious and complex, which seriously threatens the safety of coal resource, mine production and the surface ecological environment. However, the existing risk indices and methods used for evaluating rockburst risk cannot be fully applied to deep goal seam group (DCG)

Application of (supervised and unsupervised) machine learning algorithms to big geoscience data can facilitate intelligent lithological mapping and interpretation in a data-driven fashion. Among them, unsupervised machine learning could play more important role in lithological classification because lithological labels are often missed in covered places. In this study, principal component analysis

Freshwater has a significant role in determining the ecological environment, public health and socio-economic development. This study analyzed the spatio-temporal variation in surface water quality of the tropical reservoir Mettur, India, to determine whether its water is suitable for human consumption and aquatic ecosystem. Thus, 21 water quality parameters were monitored seasonally (pre-monsoon,

Recognition and mapping of mineralization-related patterns in geochemical data is a key computational analysis to achieve a predictive model of prospectivity for mineral deposit occurrence. This contribution describes a spatio-geologically informed fuzzy classification (SGIFC) for portraying the spatial-frequency distribution of mineralization through integration of geochemical concentrations, 3D spatial