Author

M. A. Maoinser

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Aug 2026

Risk-Informed Corrosion Prediction for Supercritical CO2 Pipelines Using Nonlinear Machine Learning and Monte Carlo Uncertainty Propagation

The integrity of Supercritical CO2 (SC-CO2) transport pipelines is threatened by the high temperature–pressure operating conditions, the presence of moisture, and aggressive impurities such as acids, alkalines, salts, O2, SO2, H2S, and NO2. For this reason, this environment gives rise to highly nonlinear and synergis...

P. Dadzie, A. Sulaimon, U. Abdulwasiu et al. · SPE Nigeria Annual Internati... · 0 citations

Open access Aug 2026

Unsupervised Machine Learning for Reservoir Rock Type Classification in the Ngimbang Formation, Northeast Java Basin, Indonesia

Reservoir characterisation is a fundamental step in hydrocarbon exploration and production, requiring accurate identification of rock types and productive zones. Conventional petrophysical analysis alone is often insufficient to capture the full complexity of heterogeneous carbonate formations. This study applies unsup...

Elizia Da Costa Alves, A. K. M. Eahsanul Haque, M. A. Maoinser · Scientific contributions oil... · 0 citations

Conference Aug 2026

Molecular Simulations and Data-Driven Predictive Modeling of Mercury Adsorption in Special Solvents

Mercury contamination presents critical challenges to the oil and gas industry due to its toxicity and severe environmental and health repercussions. Traditional mercury removal methods often suffer from inefficiency, limited selectivity, and suboptimal predictive capabilities for adsorption performance. This study a...

A. Sulaimon, Joshua Nsiah Turkson, Massoma Nazar et al. · SPE Nigeria Annual Internati... · 0 citations