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Dulu Appah

Publications (5)

Evaluating the Effectiveness of Red Onion Skin Extract Derivatives as Oilfield Scale Inhibitors

Dominica Una, Dulu Appah, Amieibibama Joseph & Onyewuchi Akaranta · Journal of Energy Research and Reviews · 2021

With growing awareness of the environmental impact of some conventional production chemicals and concerns about the depletion of non-renewable natural resources, increased efforts are being made to use renewable and non-toxic materials in the oilfield. In this study, a potential...

Open access Research Article 10.9734/jenrr/2021/v9i330234

Structure-property Relationship of Flavonoids as Potential Green Inhibitors for Oilfield Scales: A Mini-review

Dominica Una, Dulu Appah, Joseph Amieibibama, William Iheanyi Eke & Onyewuchi Akaranta · Journal of Engineering Research and Reports · 2021

Scale deposits are a significant flow assurance issue in oil and gas operation with huge financial consequences. Not only does scaling drastically impair well performance, but it also has the potential to permanently destroy formation and equipment. Scale inhibitors are commonly...

Open access Research Article 10.9734/jerr/2021/v21i617472

Review of Python Applications in Solving Oil and Gas Problems

Edet Ita Okon, Dulu Appah & Joseph A. Ajienka · Journal of Engineering Research and Reports · 2021

Python has grown in popularity throughout various industries, corporations, universities, government, and research groups. Its true potential to automate various processes while increased predictability capabilities have been noticed in various industries. The petroleum industry...

Open access Research Article 10.9734/jerr/2021/v21i317448

Water Coning Prediction Review and Control: Developing an Integrated Approach

Anietie N. Okon, Dulu Appah & Julius U. Akpabio · Journal of Scientific Research and Reports · 2017

In petroleum industry, oil production strategy to circumvent water coning in reservoirs with strong water drive is quit challenging. To ameliorate this oil production related problem, several water coning prediction models and control approaches have been developed by researchers...

Open access Research Article 10.9734/JSRR/2017/33291

Neural Network Models for Predicting Wellhead Pressure-Flow Rate Relationship for Niger Delta Oil Wells

Anietie N. Okon & Dulu Appah · Journal of Scientific Research and Reports · 2016

Some wellhead pressure - flow rate correlations developed for Niger Delta region oil wells are in-house estimation tool by the operating companies in this region. However, the limited available correlations for wellhead pressure - flow rate prediction for Niger Delta oil wells ar...

Open access Research Article 10.9734/JSRR/2016/28715