I am a dedicated and results-driven Well Integrity Engineer with over 15 years of experience in the oil and gas industry, specializing in well integrity management, pressure testing, and field operations. I have worked with leading companies such as Falcon Well Maintenance, MB Petroleum Services, and SOSCO, where I led integrity assessments, coordinated HAZOP/HAZID reviews, and implemented risk mitigation strategies across various well lifecycle phases.
I am proud to have contributed to national sustainability efforts through my participation in the Oman Emission Goal Zero project, which received national recognition, and to have represented my organization at the Oman Petroleum & Energy Show (OPES), where I showcased innovative well integrity solutions.
As part of my academic advancement, I recently completed a final year project titled “Machine Learning-Based Optimization of ESP Well Production”, where I developed a hybrid AI framework integrating machine learning models with PIPESIM simulations. This system enhances ESP performance prediction, failure forecasting, and real-time optimization using data from over 300 wells—demonstrating my commitment to innovation and digital transformation in petroleum engineering.
With a strong foundation in engineering project management, a deep understanding of well integrity systems, and a passion for mentoring and continuous improvement, I strive to deliver sustainable, data-driven solutions that maximize well productivity and operational efficiency.
Https://bold.pro/my/moosa-al-shuaili-250525172533
About the Company:
Al Sahari Oil Services SAOC is a Super Local Community Company (SLCC) established in 2011 to support the development of local communities in Oman’s oil and gas concession areas. As a closed joint-stock company, it plays a key role in delivering field services aligned with PDO’s In-Country Value (ICV) strategy, with a strong focus on safety, sustainability, and community empowerment
Support the planning and execution of well integrity operations, including ESP performance monitoring and diagnostics.
Collaborate with clients to troubleshoot field issues and recommend technical solutions aligned with PDO standards.
Assist in the integration of machine learning models and simulation tools (e.g., PIPESIM) for real-time production optimization.
Maintain accurate documentation and reporting through systems like eWIPS and SAP.
Participate in technical reviews, audits, and HSE compliance initiatives
Well control (IWCF)
00968 97384770