ESP Application Engineering(R&D)

I am an Engineer with 10+ years of impressive track record in spearheading ESP Application Engineering &  ESP field operations  initiatives with proficiency in  ESP application (SubPump & Perform) & AI ,NLP ,ML . A dynamic organization to harness acquired benefits of accrued experience and engineering savy to catalyze organisational growth.Also Awarded for best Cost Saver from President and Awarded for I-lead new technology.
I’ve acquired in-depth knowledge in ESP equipments, ensuring all operations were carried out in safe and productive manner. As an ESP Application & field Engineer, I’ve been efficient in ESP designing, ESP product knowledge(DHE & SEE) ,project planning, preparing project timelines and making projection adjustments as necessary. I’ve obtained skills also in bidding,R&D as well as manufacturing experience in assembling of ESP equipments. I’m adept in research and development(two phase flow around the pump through CFD), process improvement design and implementation and production optimisation I’ve firm grasp of industry safety standards. I’ve been responsible for the successful and ongoing developing and implementation of coding as well as of quality assurance testing. I’ve also obtained complete knowledge in ESP selection & completion, NMR preparation(DHE & SEE),PMP & MTR data datasheets, CFD Analysis,3D designs(Alkhorayef Models),VB Programming .. My success is due to a passion for quality and excellence, tenacity and a willingness to confront and conquer tough challenges as I gained from Saudi Aramco tasks. I’ve gained outstanding skills in analyzing situations and in making decision with emphasis on total COST reduction and optimum efficiencies. My key skills strategic planning and scheduling, process improvement, preventative maintenance, resource planning and optimization etc.
AI Expertise :
- Conducted research in AI, with a focus on natural Language processing and Machine learning , Deep learning in ESP fields
- Developed own chatBot for the Artificial lift for field services.
- Utilized AI algorithms and techniques to analyze large volumes of data from ESP sensors, enabling more accurate and timely detection of potential issues and proactive maintenance planning.
- Developed and implemented AI-powered predictive maintenance models for ESP equipment, reducing downtime and increasing efficiency.
- Stayed up-to-date with the latest AI trends and technologies in the artificial lifting field.
- Demonstrated strong analytical, problem solving and critical thinking skills, using AI techniques to identify patterns and insights in complex data sets and developing creative solutions to challenging problems in the artificial lifting fields.