Umair KhanChinese Academy of Sciences | CAS · Institute of Deep-Sea Science and Engineering
Umair Khan
Artificial Intelligence (AI) in Seismic Sequence Analysis, Lithofacies Classification, Static Reservoir Modeling
About
16
Publications
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54
Citations
Citations since 2017
Introduction
Interested in application of geophysical techniques coupled with geological implications for understanding subsurface geology (shallow and deep earth). The practical implications of multisource and multidisciplinary geoscience datasets in natural resource assessments using integrated conventional, geostatistical and advanced machine learning methods.
Education
September 2022 - July 2025
September 2019 - July 2022
September 2014 - July 2018
Publications
Publications (16)
Three-dimensional (3D) stratigraphic modelling is capable of modeling the shape, topology, and other properties of strata in a digitalized manner. The implicit modeling approach is becoming the mainstream approach for 3D stratigraphic modelling, which incorporates both the off-contact attitudes and the on-contact occurrence information of stratigra...
The current study aims to apply and compare the performance of six machine learning algorithms, including three basic classifiers: random forest (RF), gradient boosting decision tree (GBDT), and extreme gradient boosting (XGB), as well as their hybrid classifiers, using the logistic regression (LR) method (RF + LR, GBDT + LR, and XGB + LR), to map...
The Meyal oil field (MOF) is among the most important contributors to Pakistan's oil and gas industry. Northern Pakistan's Potwar Basin is located in the foreland and thrust bands of the Himalayan mountains. The current research aims to delineate the hydrocarbon potential, reservoir zone evaluation, and lithofacies identification through the utiliz...
Groundwater is closely related to hydrogeological structure and hydro-lithology, which mainly refers to the spatial distributions and properties of the environment where groundwater occurs. To analyze the constraints of hydrogeological structure and hydro-lithology on regional groundwater resources in the Eastern Henan Plain, China, we reconstructe...
Abstract: Groundwater flow modeling in a small-scale area requires practical techniques to obtain high accuracy results. The effectiveness of the model calibration is the most challenging for simulating the hydraulic head. In pursuit of this, we proposed an optimized groundwater flow calibration method based on the pilot point emplacement technique...
A complex structural geology generally leads to significant consequences for hydrocarbon reservoir exploration. Despite many existing wells in the Kadanwari field, Middle Indus Basin (MIB), Pakistan, the depositional environment of the early Cretaceous stratigraphic sequence is still poorly understood, and this has implications for regional geology...
![Figure 1. Geological map of the study area, modified from [43].](publication/358773296/figure/fig1/AS:1127545160376320@1645839123613/Geological-map-of-the-study-area-modified-from-43_Q320.jpg)
The spatial distribution of elements can be regarded as a numerical field of concentration values with a continuous spatial coverage. An active area of research is to discover geologically meaningful relationships among elements from their spatial distribution. To solve this problem, we proposed an association rule mining method based on clustered...
Complex structural geology generally leads to significant consequences for hydrocarbon reservoir exploration that needs a comprehensive methodology for complete comprehension. Despite a large number of existing wells in the Kadanwari field, Middle Indus Basin (MIB), southeastern Pakistan, the depositional environment of the Early Cretaceous stratig...
Complex structural geology generally leads to significant consequences for hydrocarbon reservoir exploration that needs a comprehensive methodology for complete comprehension. Despite a large number of existing wells in the Kadanwari field, Middle Indus Basin (MIB), southeastern Pakistan, the depositional environment of the Early Cretaceous stratig...
![Figure 1. Geological map of the study area, modified from [43].](profile/Baoyi-Zhang/publication/358098797/figure/fig1/AS:1138415051522048@1648430707050/Geological-map-of-the-study-area-modified-from-43_Q320.jpg)
The spatial distribution of elements can be regarded as a numerical field of concentration values with a continuous spatial coverage. An active area of research is to discover geologically meaningful relationships among elements from their spatial distribution. To solve this problem, we propose an association rule mining method based on clustered e...
Surface and deep subsurface geological structural trends, stratigraphic features, and reservoir characteristics play important roles in assessment of hydrocarbon potential. Here, an approach that integrates digital elevation modelling, seismic interpretation, seismic attributes, three-dimensional (3D) geological structural modeling predicated on se...
Based on the complex correlation between the geochemical element distribution patterns at the surface and the types of bedrock and the powerful capabilities in capturing subtle of machine learning algorithms, four machine learning algorithms, namely, decision tree (DT), random forest (RF), XGBoost (XGB), and LightGBM (LGBM), were implemented for th...
The optimization of groundwater conditioning factors (GCFs), the evaluation of groundwater potential (GWpot), the hydrogeological characterization of aquifer geoelectrical properties and borehole lithological information are of great significance in the complex decision-making processes of groundwater resource management (GRM). In this study, the r...
![Figure 2. Simplified geological map compiled after [14], the blue...](profile/Umair-Khan-37/publication/343818171/figure/fig2/AS:927595235377152@1598167346388/Simplified-geological-map-compiled-after-14-the-blue-points-indicates-gravity_Q320.jpg)
Gravity data indicates that there is a regular relation between crustal structure, crustal density (composition), and surface ascension. In order to delineate surface and subsurface geological structure features, and to calculate the thickness variation of the crust and sedimentary/metasedimentary wedges, integrated approach of Geographic Informati...
![Figure 1. Study area on the map [10]](profile/Umair-Khan-37/publication/340894027/figure/fig1/AS:883827643805696@1587732339181/Study-area-on-the-map-10_Q320.jpg)
![Figure 2. Stratigraphy of area after [13, 14]](profile/Umair-Khan-37/publication/340894027/figure/fig2/AS:883827643785219@1587732339294/Stratigraphy-of-area-after-13-14_Q320.jpg)
Questions
Questions (2)
Geophysical data has been used in many studies to support geological, mapping, exploration, minerals targeting and lithological classification, mainly by applying conventional as well as different advance machine-learning approaches for classification.
GIS approach such as Multi_influencing factor analysis and geophysical approach such as electrical resistivity tomography and vertical electrical sounding play important role in groundwater potentiality assessment.
Projects
Projects (2)
With field surveying geological occurrence and boundary, coupling with geological tectonic constraints which consist of a number of faults, geologists can build up the three-dimensional shape of geological body in their minds. This project plans to restore the three-dimensional geological spatial reasoning way of geologists, which emphasizes the geological body shape controlling by the geological tectonic and geological occurrence, and to propose a three-dimensional geological spatial expression pattern based on potential field, which uses a three-dimensional geological structure field to express the full parameters of geological body, including nature, shape, topology and attribute. In this three-dimensional geological structure field, geologic time is treated as field value of the potential field, geological interface as certain isosurface of potential field, geological occurrence as gradient of potential field, and fault, intrusive or unconformity contact as discontinuity of potential field. The self-similarity of geophysical and geochemical properties in geological body is restricted by both geologic time and spatial distance, while geological tectonic movement usually folded or broke the spatial distance into unrecognizable situation after geological body formed. Based the field value of geologic time in the three-dimensional geological spatial expression pattern, combining with the deformation restoring balance model form three-dimensional geological structure field, this project plans to carry out a space-time coupling interpolation of geophysical and geochemical properties in geological body. The project will present the theory and method of the three-dimensional geological spatial field modeling, and provide various type of geosciences numerical simulations with the fine three-dimensional geological structure model and attribute model.
Realistic lithology classification using ANN model
