Amin Shokrollahi
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View article: Two-phase immiscible displacement of water by gas accounting for fines migration: analytical model for vertical equilibrium
Two-phase immiscible displacement of water by gas accounting for fines migration: analytical model for vertical equilibrium Open
Fines migration during subterranean CO2 storage is considered as one of major contributors to formation damage and injectivity decline. The main formation damage mechanism by migrating fines is rock clogging by straining of particles in th…
View article: Long-term propagation of CO2 plume below the seal accounting for chemical reactions and water counter-flow
Long-term propagation of CO2 plume below the seal accounting for chemical reactions and water counter-flow Open
Accurate prediction of long-term CO2 plume migration beneath seals is crucial for the viability of CO2 storage in deep saline aquifers. Groundwater counterflow and chemical reactions between CO2, brine, and rock significantly influence plu…
View article: Explainable Advanced Modelling of CO2-Dissolved Brine Density: Applications for Geological CO2 Storage in Aquifers
Explainable Advanced Modelling of CO2-Dissolved Brine Density: Applications for Geological CO2 Storage in Aquifers Open
The growing impacts of global warming demand urgent climate-change mitigation strategies, with carbon storage in saline aquifers emerging as a promising solution. These aquifers, for their high porosity and permeability, offer significant …
View article: Analytical model for CO2-water displacement with rate-dependent phase permeability for geological storage
Analytical model for CO2-water displacement with rate-dependent phase permeability for geological storage Open
View article: Deep Learning for Predicting Hydrogen Solubility in n-Alkanes: Enhancing Sustainable Energy Systems
Deep Learning for Predicting Hydrogen Solubility in n-Alkanes: Enhancing Sustainable Energy Systems Open
As global population growth and urbanisation intensify energy demands, the quest for sustainable energy sources gains paramount importance. Hydrogen (H2) emerges as a versatile energy carrier, contributing to diverse processes in energy sy…
View article: CO2 Storage in Subsurface Formations: Impact of Formation Damage
CO2 Storage in Subsurface Formations: Impact of Formation Damage Open
The success of CO2 storage projects largely depends on addressing formation damage, such as salt precipitation, hydrate formation, and fines migration. While analytical models for reservoir behaviour during CO2 storage in aquifers and depl…
View article: Advancing CO2 Solubility Prediction in Brine Solutions with Explainable Artificial Intelligence for Sustainable Subsurface Storage
Advancing CO2 Solubility Prediction in Brine Solutions with Explainable Artificial Intelligence for Sustainable Subsurface Storage Open
Underground CO2 storage is crucial for sustainability as it reduces greenhouse gas (GHG) emissions, helping mitigate climate change and protect the environment. This research explores the use of Explainable Artificial Intelligence (XAI) to…
View article: Carbon dioxide storage within coal reservoirs: A comprehensive review
Carbon dioxide storage within coal reservoirs: A comprehensive review Open
Storing carbon dioxide (CO2) resulting from the burning of fossil fuels in geological formations could be an environmentally appealing approach to mitigate the volume of greenhouse gas emissions. Among the geological choices available, sto…
View article: Hydrogen solubility in different chemicals: A modelling approach and review of literature data
Hydrogen solubility in different chemicals: A modelling approach and review of literature data Open
Hydrogen (H2) solubility is a crucial parameter for industrial processes. This study utilises various Machine Learning (ML) techniques, including Decision Tree (DT), Multilayer Perceptron (MLP), Random Forest (RF), and Extremely Randomized…
View article: Table of Contents
Table of Contents Open
View article: Exploring the power of machine learning in analyzing the gas minimum miscibility pressure in hydrocarbons
Exploring the power of machine learning in analyzing the gas minimum miscibility pressure in hydrocarbons Open
Minimum Miscibility Pressure (MMP) plays a crucial role in subsurface gas injection processes. Hence, the accurate determination and analysis of the effective parameters on MMP are vital for a successful injection project. In this study, d…
View article: Evaluation of phase equilibrium conditions of clathrate hydrates in natural gas binary mixtures: Machine learning approach
Evaluation of phase equilibrium conditions of clathrate hydrates in natural gas binary mixtures: Machine learning approach Open
View article: Application of a new approach for modeling the oil field formation damage due to mineral scaling
Application of a new approach for modeling the oil field formation damage due to mineral scaling Open
Mineral scaling has been considered a great concern for developing the oil production from the underground petroleum reservoirs. One of the main causes of this phenomenon is known as the chemical incompatibility of injected brine, frequent…
View article: New method for predicting<i>n</i>-tetradecane/bitumen mixture density: correlation development
New method for predicting<i>n</i>-tetradecane/bitumen mixture density: correlation development Open
Nowadays, incredible growth of the energy consumption has changed the global attention to the production and utilization of the heavy crude oils such as bitumen resources around the globe. Amongst the bitumen properties, density is an impo…
View article: Optimized polymer flooding projects via combination of experimental design and reservoir simulation
Optimized polymer flooding projects via combination of experimental design and reservoir simulation Open
The conventional approach for an EOR process is to compare the reservoir properties with those of successful worldwide projects. However, some proper cases may be neglected due to the lack of reliable data. A combination of experimental de…
View article: Prediction of sand production onset in petroleum reservoirs using a reliable classification approach
Prediction of sand production onset in petroleum reservoirs using a reliable classification approach Open
Controlling sand production in the petroleum industry has been a long-standing problem for more than 70 years. To provide technical support for sand control strategy, it is necessary to predict the conditions at which sanding occurs. To th…
View article: ISI Tolerant Signaling: A Comparative Study of PAM4 and ENRZ
ISI Tolerant Signaling: A Comparative Study of PAM4 and ENRZ Open
A thorough analysis has been carried out to study and compare the sensitivity of two signaling methods (PAM4 and ENRZ) to inter-symbol interference (ISI). While both signaling methods are considered to be major candidates for implementing …
View article: A Versatile Spectrum Shaping Scheme for Communicating Beyond Notches in Multi-Drop Interfaces”
A Versatile Spectrum Shaping Scheme for Communicating Beyond Notches in Multi-Drop Interfaces” Open
This paper proposes a signal shaping technique to increase the data rate of high-speed SerDes communication systems over multi-drop bus interfaces. This scenario creates a channel with deep notches in its spectrum, and therefore the effect…
View article: 10.1 A pin-efficient 20.83Gb/s/wire 0.94pJ/bit forwarded clock CNRZ-5-coded SerDes up to 12mm for MCM packages in 28nm CMOS
10.1 A pin-efficient 20.83Gb/s/wire 0.94pJ/bit forwarded clock CNRZ-5-coded SerDes up to 12mm for MCM packages in 28nm CMOS Open
High-speed signaling over package substrates is key to delivering the promise of 2.5D integration. Applications abound and include high-density memory interfaces, sub-division of large dies to increase yield and lower development time, sub…
View article: Online Fountain Codes With Low Overhead
Online Fountain Codes With Low Overhead Open
An online fountain code is defined as a fountain code for which an optimal encoding strategy can be found efficiently given any instantaneous decoding state. This property is important for data distribution in practical networks. In this p…
View article: Fracture density determination using a novel hybrid computational scheme: a case study on an Iranian Marun oil field reservoir
Fracture density determination using a novel hybrid computational scheme: a case study on an Iranian Marun oil field reservoir Open
Most oil production all over the world is from carbonated reservoirs. Carbonate reservoirs are abundant in the Middle East, the Gulf of Mexico and in other major petroleum fields that are regarded as the main oil producers. Due to the natu…