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Mohammed Abdalla Ayoub

Researcher at Universiti Teknologi Petronas

Publications -  63
Citations -  455

Mohammed Abdalla Ayoub is an academic researcher from Universiti Teknologi Petronas. The author has contributed to research in topics: Enhanced oil recovery & Computer science. The author has an hindex of 8, co-authored 45 publications receiving 194 citations. Previous affiliations of Mohammed Abdalla Ayoub include Petronas & Abu Dhabi Company for Onshore Oil Operations.

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Journal ArticleDOI

Exergy return on exergy investment analysis of natural-polymer (Guar-Arabic gum) enhanced oil recovery process

TL;DR: In this paper, a 1-D displacement model of Guar-Arabic gum slugs was used to compare the enhanced oil recovery (EOR) history for three scenarios, i.e., water injection, natural-polymer water injection and slug injection.
Journal ArticleDOI

Study of surface complexation modeling on a novel hybrid enhanced oil recovery (EOR) method; smart-water assisted foam-flooding

TL;DR: In this article, a hybrid enhanced oil recovery (EOR) method was proposed, which combines smart-water and foam-flooding of light oil with dissolved carbon dioxide (CO2) at high pressure in carbonate (i.e., calcite) reservoirs.
Book ChapterDOI

Application of Emulsions and Microemulsions in Enhanced Oil Recovery and Well Stimulation

TL;DR: In this article, the authors discuss the application of emulsions and micro-emulsions in petroleum industry, and conclude that the emulsifiers are sometimes intentionally formed for using in enhanced oil recovery (EOR) and well stimulation.
Journal ArticleDOI

Synthesis and evaluation of Jatropha oil-based emulsified acids for matrix acidizing of carbonate rocks

TL;DR: In this article, a novel oil-based environmental friendly emulsified acid has been synthesized from Jatropha curcas oil and compared against diesel and palm oil based emulsifiers.
Journal ArticleDOI

An outlook into recent advances on estimation of effective stimulated reservoir volume

TL;DR: In this article, the authors present an outlook on the evolution and development of various models used to evaluate ESRV, such as rate transient analysis and discrete fracture network modelling, which are more efficient to characterise and describe the ESRVM.