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Caspar Daniel Adenutsi

Petroleum Engineering

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About

Dr. Caspar Daniel Adenutsi is a petroleum reservoir engineer by training with research experience in porous media fluid flow and special core analysis, nano-enhanced oil recovery, low permeability reservoir characterization and fractal analysis as well as the application of artificial intelligence in the petroleum industry.The research of Dr. Adenutsi is driven by the quest to solve problems associated with production of petroleum from challenging reservoirs at low costs and in an environmentally friendly manner. The fundamental tool to achieve this is by applying mathematical models supported by laboratory experiments at the pore scale to understand fluid/rock interactions as well as fluid flow mechanisms. This has led to many publications in top-tier international peer-reviewed journals in the field of petroleum engineering such as the Journal of Natural Gas Science and Engineering, the Journal of Petroleum Science and Engineering, Mathematical Problems in Engineering, Energies, the Arabian Journal for Science and Engineering, Oil & Gas Science and Technology and the Journal of Petroleum Exploration and Production Technology.Dr. Adenutsi is a reviewer for top-tier journals including the Journal of Petroleum Science and Engineering (Elsevier) and Energy Exploration and Exploitation (Sage Publishing). Furthermore, he serves as a reviewer for the International Conference on Energy Engineering and Environmental Protection (EEEP) where he was recognized as the Best Reviewer in 2019.He had industrial experience while working with the Ghana National Petroleum Corporation. He worked offshore aboard the semi-submersible drilling rig, the Erik Raude, during the Phase-1 Development of the Jubilee Field. He also had the opportunity to be trained in production operations at the Saltpond Field aboard the production platform the Mr. Louie. While pursuing his Doctoral program Dr. Adenutsi worked with researchers from the Yanchang Oilfield in the Ordos Basin of China.

Research Summary

(inferred from publications by AI)

The researcher has published extensively across various domains, focusing on unconventional methods for improving oil recovery, advancing material science applications, enhancing reservoir analysis techniques, contributing to hydraulic fracturing processes, exploring bioremediation strategies, integrating machine learning in geophysical studies, and investigating hydrocarbon formations. Their work spans diverse fields, including advanced material synthesis, reservoir engineering optimization, and innovative energy production systems.

Research Themes

All Papers

Cellulose processing from biomass and its derivatization into carboxymethylcellulose: A review(2021)
A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization(2023)
Integrated optimization design for horizontal well placement and fracturing in tight oil reservoirs(2019)
A novel multi-objective optimization method for well control parameters based on PSO-LSSVR proxy model and NSGA-II algorithm(2020)
A novel self-adaptive multi-fidelity surrogate-assisted multi-objective evolutionary algorithm for simulation-based production optimization(2022)
Hybrid application of unsupervised and supervised learning in forecasting absolute open flow potential for shale gas reservoirs(2021)
A Novel Surrogate-Assisted Multi-objective Optimization Method for Well Control Parameters Based on Tri-Training(2021)
An Integrated Approach for History Matching of Complex Fracture Distributions for Shale Oil Reservoirs Based on Improved Adaptive Particle Filter(2022)
Application of Polynomial Chaos Expansion to Optimize Injection-Production Parameters under Uncertainty(2020)
A rapid intelligent multi-fidelity surrogate-assisted multi-objective optimization method for water-flooding reservoir production optimization(2022)
An intelligent multi-fidelity surrogate-assisted multi-objective reservoir production optimization method based on transfer stacking(2022)
A Novel Surrogate-Assisted Multi-Objective Well Control Parameter Optimization Method Based on Selective Ensembles(2024)
Active learning based surrogate ensemble assisted multi-objective optimization framework for reservoir water-flooding optimization(2025)
Review on Potential Application of Saponin-Based Natural Surfactants for Green Chemical Enhanced Oil Recovery: Perspectives and Progresses(2023)
Experimental study on microscopic formation damage of low permeability reservoir caused by HPG fracturing fluid(2016)
Quantitative investigation of nanofluid imbibition in tight oil reservoirs based on NMR technique(2022)
New insights into the synergism between silica nanoparticles and surfactants on interfacial properties: Implications for spontaneous imbibition in tight oil reservoirs(2022)
Pore pressure variation at constant confining stress on water–oil and silica nanofluid–oil relative permeability(2018)
Experimental and numerical simulation research on counter-current imbibition distance in tight oil reservoirs(2023)
The imbibition mechanism for enhanced oil recovery by gel breaking fluid of SiO2-enhanced seawater-based VES fracturing fluid in offshore low permeability reservoir(2024)
An experimental study of the effect of three metallic oxide nanoparticles on oil-water relative permeability curves derived from the JBN and extended JBN methods(2020)
Transport Behavior of Oil in Mixed Wettability Shale Nanopores(2020)
Zeta potential prediction of dominant sandstone minerals via surface complexation modelling(2023)
Analysis of Spontaneous and Dynamic Imbibition Characteristics of Silica-Based Nanofluid in Microscopic Pore Structure of Tight Oil Reservoirs(2024)
Performance of Relative Permeability and Two-Phase Flow Parameters Under Net Effective Stress in Water Wet Porous Media: A Comparative Study of Water–Oil Versus Silica Nanofluid–Oil(2018)
Co-optimization of oil recovery and CO<sub>2</sub> storage for cyclic CO<sub>2</sub> flooding in ultralow permeability reservoirs(2018)
Experimental Investigation on Spontaneous Imbibition of Surfactant Mixtures in Low Permeability Reservoirs(2023)
Source-sink matching and cost analysis of offshore carbon capture, utilization, and storage in China(2024)
Carbonated Water Injection for Enhanced Oil Recovery and CO<sub>2</sub> Geosequestration in Different CO<sub>2</sub> Repositories: A Review of Physicochemical Processes and Recent Advances(2024)
Integrating nature-inspired optimization techniques and machine learning for accurate CO2/brine interfacial tension estimation: Implications for CO2 sequestration and uncertainty analysis(2025)
A hybrid surrogate-assisted integrated optimization of horizontal well spacing and hydraulic fracture stage placement in naturally fractured shale gas reservoir(2022)
Development and performance evaluation of a novel SiO2-enhanced seawater-based temperature-resistant clean fracturing fluid(2024)
A new model for calculating permeability of natural fractures in dual-porosity reservoir(2017)
Data-driven multi-objective optimization design method for shale gas fracturing parameters(2022)
Optimization design of horizontal well fracture stage placement in shale gas reservoirs based on an efficient variable-fidelity surrogate model and intelligent algorithm(2022)
Integrated optimization design for horizontal well spacing and fracture stage placement in shale gas reservoir(2022)
Combined Application of Unsupervised and Deep Learning in Absolute Open Flow Potential Prediction: A Case Study of the Weiyuan Shale Gas Reservoir(2021)
Integration of rock physics, geostatistics, and Bayesian algorithm to estimate porosity in tight oil reservoirs(2023)
A novel high-dimension shale gas reservoir hydraulic fracture network parameters optimization framework(2023)
Nano-SiO2 enhanced slickwater fracturing fluid for improved imbibition recovery in tight gas reservoirs: Performance and mechanism(2024)
Analysis of Gas Flow Behavior for Highly Deviated Wells in Naturally Fractured‐Vuggy Carbonate Gas Reservoirs(2019)
A Novel Semi-Analytical Model for Highly Deviated Wells in Fractured-Vuggy Carbonate Gas Reservoirs(2020)
Novel Model for Rate Transient Analysis in Stress-Sensitive Shale Gas Reservoirs(2021)
A Rapid Multi-Objective Intelligent Decision Method for Shale Gas Fracturing Parameters Based on Machine Learning: A Case Study in the Changning Reservoir(2022)
Corrigendum to “Optimization design of horizontal well fracture stage placement in shale gas reservoirs based on an efficient variable-fidelity surrogate model and intelligent algorithm” [Energy Rep. 8 (2022) 3589–3599](2022)
Efficient Inversion of Complex Fracture Network Through Adaptative Particle Filter Based on Quadratic Programming in Shale(2025)
A novel non-ionic surfactant extract derived from Chromolaena odarata as shale inhibitor in water based drilling mud(2019)
Experimental Study of Bio-Based Membrane Enhancers on Shale Through Osmotic Pressure Measurements(2021)
Efficient Inversion of Complex Fracture Network Through Adaptative Particle Filter Based on Quadratic Programming in Shale(2024)
Influence of net confining stress on NMR T2 distribution and two-phase relative permeability(2019)
Mechanism and multi-step kinetic modelling of Cr(VI) adsorption, reduction and complexation by humic acid, humin and kerogen from different sources(2021)
Genesis of authigenic clay minerals and their impacts on reservoir quality in tight conglomerate reservoirs of the Triassic Baikouquan formation in the Mahu Sag, Junggar Basin, Western China(2022)
Investigating the Effects of Pore-Structure Characteristics on Porosity and Absolute Permeability for Unconventional Reservoirs(2020)
Experimental Investigation into the Effects of Fracturing Fluid-Shale Interaction on Pore Structure and Wettability(2021)
Biogenically modified reservoir rock quality: A case from the lowermost member Paleocene Funing Formation, Gaoyou Depression, Subei Basin, China(2022)
Effects of the Sandstone Pore Structure on Spontaneous Imbibition: A Systematic Experimental Investigation Based on Fractal Analysis(2021)
A novel model for predicting tight sandstone reservoir permeability(2021)
Effect of Supercritical CO<sub>2</sub>–Water–Shale Interaction on Pore Evolution and Oil Composition(2024)
An analytical model for multi-component shale gas transport through micro-scale fractures in shale gas reservoirs(2023)
Effect of Silica Nanofluid on Nanoscopic Pore Structure of Low-Permeability Petroleum Reservoir by Nitrogen Adsorption Technique: A Case Study(2019)
The adsorption and reduction mechanism of Cr(VI) by kerogen with different degrees of geochemical alteration using a thermal simulation method(2022)
Understanding the role of bioturbation in modifying petrophysical properties: a case from well L5 of the third-member Paleocene Funing Formation (E1f3), Gaoyou Sag, Subei Basin, China(2023)
Evaluation of porosity and permeability of sandstones within the Oti Group of the Volta Basin using petrophysical and petrographic techniques(2023)
Construction and Application of a Big Data System for Regional Lakes in Coalbed Methane Development(2023)
Transport Behavior of Liquid Hydrocarbon in Shale Matrix with Mixed Wettability Nanopores(2021)
A novel model for predicting tight sandstone reservoir permeability(2021)
Prediction of Relative Permeability Curves by Machine-Learning in Tight Reservoirs: A Case Study in the Ordos Basin(2024)
Geologically Constrained Deep Learning for Lithofacies Identification of Mixed Terrestrial Shale Reservoirs: Permian Fengcheng Formation, Mahu Sag, Junggar Basin, Western China(2025)
Seismic facies analysis using machine learning techniques: a review and case study(2024)
An Efficient Complex Fracture Network Inversion Method Through Adaptative Particle Filter Based on Quadratic Programming for 3D Shale Oil Reservoir(2024)
Identifying the Key Driving Factors of Carbon Emissions in ‘Belt and Road Initiative’ Countries(2022)
Spatial Pattern of a Comprehensive fE Index for Provincial Carbon Emissions in China(2020)
Predictive modeling of energy‐related greenhouse gas emissions in Ghana towards a net‐zero future(2023)
A review on the provenance of the Voltaian Basin, Ghana: Implications for hydrocarbon prospectivity(2022)
Applying seismic sedimentology to characterize the architecture of a fan delta complex: Triassic Baikouquan formation, Mahu Sag, Junggar Basin, western China(2024)
Fossil evidence in the Bimbila Limestones of the Oti Group in the Voltaian Basin of Ghana(2024)
Predicting physico-chemical parameters of Barekese reservoir using feedforward neural network(2025)
Assessing the corrosion inhibition potential of novel green and sustainable plant leaf extracts on mild steel in seawater – Preliminary studies(2025)
Decarbonization Via Microwave-Assisted Carbon-Zero HydrOgen Production from PEtroleum Reservoirs (HOPE Process): Support or Competitor to Conventional Methods?(2025)

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.