ESP Application Engineering(R&D)
Electric Submersible Pump systems
About me
I am an ESP Application Scientist with over a decade of hands-on expertise in Electric Submersible Pump systems, combining advanced engineering practice with cutting-edge research in Artificial Intelligence , Machine Learning , and Natural Language Processing for artificial lift optimization. My experience spans across ESP application engineering, field operations, CFD research, and the digital transformation of ESP lifecycle management.ESP Engineering & Field Expertise
- Over 10 years of experience in ESP system design, installation, and optimization, with deep proficiency in software platforms such as SubPump, Perform, DesignPro, and Prosper,Eclipse etc
- Specialized in DHE & SEE product integration, including project scoping, planning, and lifecycle forecasting for high-efficiency ESP installations.
- Proven track record in cost-saving initiatives and was honored with the Best Cost Saver Award by the President, and recognized under I-Lead New Technology initiatives.
- Skilled in CFD modeling and simulation, particularly focusing on two-phase flow behavior across pump stages to understand flow instabilities and thermal interactions.
- In-depth exposure to ESP equipment R&D, procurement, bidding, and assembly operations.
- Designed and validated ESP systems using 3D modeling (e.g., Alkhorayef models) and Vibration Analysis, incorporating Quality Assurance Testing and Failure Risk Evaluation algorithms.
- Strong foundation in NMR preparation, PMP/MTR data sheets, and ESP selection-to-completion workflows.
- Conducted original PhD research in AI-integrated ESP performance diagnostics, focusing on machine learning-based anomaly detection, sensor data fusion, and natural language model interpretation for real-time field insights.
- Built a custom NLP-powered ChatBot to assist field operators with ESP troubleshooting, part replacement guidance, and VSD alarm interpretation.
- Developed AI/ML models for predictive maintenance, reducing ESP downtime, improving run life, and enhancing operational efficiency by >25%.
- Leveraged sensor telemetry, motor torque patterns, and wellhead data to train supervised ML models for fault classification (e.g., gas lock, downthrust, insulation failures).
- Keeping pace with evolving AI advancements, with active focus on digital twins for ESPs, reinforcement learning for optimization, and LLM-driven field support systems.
- ESP Design & Commissioning
- AI/ML for Artificial Lift
- Predictive Maintenance Modeling
- CFD Simulation & Flow Analysis
- ESP Completion & NMR Documentation
- Field Automation & Chatbot Development
- Data Analytics for Failure Diagnostics
ESP AI
Artificial Lift Meets Artificial IntelligenceIncrease production levels up to 7% and lower operating costs up to 30%
Artificial Intelligence
- Derive new insights, automate control, and improve efficiency with artificial intelligence.
- With Autonomous Optimization AI technology, system performance can be monitored remotely from anywhere 24/7.
Increase Production
- Reduce gas interference
- Prevent overpumping
- Correct underpumping
- Prevent service disruption
- Prevent wax or scale buildup
- Prevent failure and catastrophic damage to your pumpjack
- Extend asset life and avoid downtime with early anomaly detection.
- Remote well visibility
- Control your day
- Reduce risk
- Improve safety.
1. IPR curve (3 easy equations). The user must upload Reservoir Press (P*) and Fluid Rate of one test (Q). The Pwf (press while flowing) should be calculated automatically from the completion of the well (geometry and survey) and the PIP from the sensor.
2. Data Transmission- For instance, “events characterization”. When some gas lock effect, pump stuck effect, probability of tubing leakage, etc., is detected (Different scenarios for this application to learn how to analyze these kind of events) then automatically will appear one alarm/warning showing the possible diagnostic. And also explain theoretical reason of the event and how to solve it if possible.3. Pump performance curve and several calculations in real time to be estimated by the software with the VSD and sensor information. Water Cut, Well head Pressure and Casing Head Pressure to be set manually by the user when there’s no pressure transmitters in surface and flowmeters.
4. Quick reports as well as Data Transmission must have a sample rate selector for the graphic with blue bars and the table below (max, min and average values for the period of time selected). Last 24 hrs should show only Shutdown reasons (taken from the VSD) and Events (estimated automatically in the events characterization feature).
Colors and sizing subjected obviously to any improvement.This is a very ambitious project but for sure will be a pretty good product to work with and spread to all the regions.
9 steps- ESP Design Flow
Collect and analyze the well data that will be used in the design
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Determine the well productivity at the desired pump setting depth or determine the pump setting depth at the desired production rate
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Calculate the fluid volumes, including gas, at the pump intake conditions
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Determine the pump discharge requirement.
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ESP downhole pump to increase the pressure in the well to overcome the sum of flowing pressure losses.
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Select the optimum size of pump, motor, and seal section and check equipment limitations.
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Select the correct type and size of cable
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Select the motor controller, transformer, tubing head and optional equipment
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For additional operational flexibility, select the variable speed submersible pumping system
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ESP softwares
Sub pump
SubPUMP is an advanced Windows™ software package for designing an efficient Electric Submersible Pumping (ESP) system (in Design Mode) and/or analyzing an existing ESP system (in Analysis Mode). The program provides you with pump, motor, and other component information for the system from leading industry suppliers. SubPUMP’s robust interface makes the process of entering the data simple and fluent. It is designed to take you step by step through all the input dialogs. SubPUMP’s enhanced calculation engine enables you to evaluate and/or optimize your ESP system.
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Perform
PERFORM® is a graphical tool used for the analysis of single production/injection, oil/gas, onshore/offshore wells. Each of the well components is modeled using equations, correlations or mechanistic models to determine the pressure loss as a function of flow rate. The program is based on nodal analysis techniques that can increase production through an improved understanding of a reservoir's potential and an optimized well design and operation.
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File Manager
My skills
CFD Analysis -HSSP Impeller Case Studies
ESP Application engineering Impeller Case studies for High Speed Slim Project(6000RPM) ., Housing size will be 3.38 inch OD and 3.0 inch ID Target Operating Flow Rate at 5000bpd, at 6000RPM 2.34hp/stage, H 37.8ft/stage, Max 318 hp
3D Designer
ESP Designing and modelling, animating of all ESP equipment including new R&D projects,
VB,Python & ML programming(Nodal analysis)
Developed design Application of electric submersible pump equipment by creating optimum performance for current well conditions or analyzing the performance of an existing ESP System. Pump analysis is typically performed by a production engineer. Wellbore configuration, fluid analysis, and inflow performance are used as a basis of a VB,Python & ML programming.
Primavera Project Planning Engineering
ESP Project planning of ˜600 wells Aramco Project , Forecasting,Cost Scheduling & Monitoring.Productivity and efficiency curves analysis, schedule interfaces with engineering, procurement.
Oracle Certified Professional- Oracle 10G & Oracle Apps 11i
Oracle Certified Professional (OCP) is the second level credential in the Oracle certification path that builds upon the fundamental skills demonstrated by the OCA. Oracle Certified Professional - OCP has a command of a specific area of Oracle technology and demonstrates a high level of knowledge and skills. Expert in ERP system ,BI & DBA