ESP Application Engineering AI Lab

Advanced platform for Electrical Submersible Pump sizing, analysis, and troubleshooting. Powered by Ellipzys AI with comprehensive pump database and real-time calculations.

Platform Features

Advanced ESP Sizing

Complete ESP system sizing with comprehensive pump database

Pump Curve Analysis

Interactive analysis with 12+ pump models

Affinity Laws Simulator

Calculate frequency effects on pump performance

VSD 3D Expert System

Baker Hughes VSD troubleshooting with 3D interface

AI Well Monitoring

Real-time well monitoring with AI alerts

IPM Automation

PROSPER, GAP, MBAL integration with 3D visualization

Information

Mohamed Shanees - ESP Application AI Expert

Experience: 15+ years in ESP Applications and AI Integration

Previous Roles: Aramco project (10 years), OXY project, Riyadh Sales projects,KOC, IRAQ Project

International Experience: Saudi Arabia, Iraq, UAE, Bahrain, India, Africa

ESP Sizing Calculator

Comprehensive ESP sizing calculator based on industry-standard formulas and pump database. Calculates stages, motor requirements, and operating parameters.

Well & Fluid Parameters

Production Rate

bbl/day

Total Dynamic Head

feet

Fluid Specific Gravity

SG (water=1.0)

Reservoir Temperature

°F

Gas-Oil Ratio

scf/bbl

Water Cut

Oil API Gravity

°API

Viscosity

Pump Selection

Pump Model

Operating Frequency

Casing Size

Motor Efficiency

decimal (84% = 0.84)

Power Cost

USD per KWH

Pump Setting Depth

feet

Tubing Pressure

psi

Formula Reference

ESP Sizing Formulas:Hydraulic Horsepower: HHP = (Q × TDH × SG) / 136,000
Pump Efficiency: Eff = HHP / BHP
Stages Required: N = TDH / Head_per_Stage
Motor Input Power: KW = (HP × 0.746) / Motor_Efficiency
Fluid Velocity: V = 0.0093583 × (Q / Annular_Area)
Monthly Power Cost: Cost = KW × 730 × Power_Cost

Pump Curve Analysis

Interactive pump curve visualization with 3D impeller view and real-time parameter adjustments. Powered by Ellipzys AI for intelligent analysis.

Electric Submersible Pump Variable Speed Performance Curve — BKR 400 P60

Downhole Rate: BPD, Frequency: Hz, SpGr: , Viscosity: cP, Stages: , Motor HP: , TDH: ft

Inputs

Select Pump Model

Selected Pump: BKR 400 P60

Max Flow: 8200 BFPD | Max Head: 28.68 ft | Max Power: 1.33 HP

Frequency (Hz) Surface Rate (BFPD) Specific Gravity Viscosity @70C (cP) Intake Temperature (C) Water Cut (%) GOR (scf/bbl) Motor Temperature (C) Pump Depth (m) WHP Pressure (bar) Intake Pressure (psi) Motor Horsepower (HP) Stages Res Pressure (psi)

Affinity Laws Calculator

Calculate the effects of frequency changes on pump performance using the affinity laws. Visualize how flow, head, and power change with frequency adjustments.

Base Parameters

Pump Model

Base Frequency

Base Flow Rate

bbl/day

Base Head

ft/stage

Base BHP

HP/stage

New Frequency

Affinity Laws Results

New Flow Rate

7467

bbl/day

New Head

38.24

ft/stage

New BHP

3.10

HP/stage

Speed Ratio

1.33

(New/Old)

Flow Ratio

1.33

(New/Old)

Head Ratio

1.78

(New/Old)²

Power Ratio

2.37

(New/Old)³

Affinity Laws Formulas

Affinity Laws:Flow: Q₂ = Q₁ × (N₂/N₁)
Head: H₂ = H₁ × (N₂/N₁)²
Power: P₂ = P₁ × (N₂/N₁)³
Efficiency: Efficiency remains constant (theoretically)
Where: Q = Flow rate, H = Head, P = Power, N = Speed (Hz)

VSD 3D Expert System

Baker Hughes ElectroSpeed Advantage VSD Expert System with 3D interface and Ellipzys AI integration. Based on 2018 troubleshooting manual.

Troubleshooting Guide

Comprehensive ESP troubleshooting guide with AI-powered diagnostics. Identify common issues and get step-by-step solutions.

MBAL Integration

AI Analysis

GAP (General Allocation Package) Integration

Network modeling and optimization for production systems.

Network Type

Number of Nodes

MBAL (Material Balance) Integration

Reservoir material balance analysis and prediction.

Reservoir Type

Initial Pressure (psi)

AI Analysis Center

Ask Ellipzys AI about IPM:

ESP Training Program

Comprehensive 5-day ESP training program with interactive modules. Powered by Ellipzys AI for personalized learning.

Day 1: ESP Fundamentals & Equipment

Topics Covered:

ESP system components and functions
Pump types: Radial vs. Mixed flow
Motor theory and construction
Seal section and thrust bearing
Gas handling equipment

Practical Exercise: Identify ESP components in 3D viewer

Day 2: Pump Curve Analysis & Sizing

Topics Covered:

Understanding pump performance curves
Calculating hydraulic horsepower
Determining number of stages
Motor selection criteria
Affinity laws application

Practical Exercise: Complete ESP sizing calculation

Day 3: Advanced Sizing & System Design

Topics Covered:

Total dynamic head calculations
Cable sizing and voltage drop
Transformer selection
Variable speed drive considerations
Special applications (gas, abrasive fluids)

Practical Exercise: Design complete ESP system

Day 4: Installation & Startup Procedures

Topics Covered:

Well preparation and equipment handling
Running procedures and precautions
Startup sequence and checks
Initial optimization
Safety procedures and best practices

Practical Exercise: Simulate ESP installation

Day 5: Troubleshooting & Optimization

Topics Covered:

Ammeter chart analysis
Common failure modes and diagnosis
Preventive maintenance
Optimization techniques
Case study analysis

Practical Exercise: Troubleshoot simulated ESP problem

Training Progress

Your Progress

Day 1: Fundamentals0%

Day 2: Pump Curves0%

Day 3: System Design0%

Day 4: Installation0%

Day 5: Troubleshooting0%

Ellipzys AI Assistant

Hello! I'm Ellipzys AI, your ESP expert assistant. How can I help you with ESP sizing, troubleshooting, or analysis today?

Ellipzys ESP AI Assistant

ESP & Oil & Gas AI Assistant

Created by Mohamed Shanees

0 Messages Sent

Supported File Formats for Oil & Gas Analysis:

PDF: ESP schematics, pump curves, well logs, engineering reports
DOC/DOCX: Technical specifications, maintenance reports, procedures
Excel: Production data, pressure readings, equipment specs, well tests
Images: ESP installations, field equipment, gauge readings, diagrams
Text: Log files, sensor data, operational notes, troubleshooting guides

Tip: Click SPEAK button to use voice input. Speak clearly for best results.

Uploaded Files:

IPR Chart

Method: Units: psi / stb/d Pb: 2660 psi

Flow Rate (stb/d)

Flowing Pressure (psi)

Parameters

Pr (reservoir)

psi

Pb (bubble)

psi

PI (stb/d/psi)

qmax (dynamic)

—

Pwf (calculated)

— psi

Q (op)

— stb/d

AI Alert Control

Start AI Alerts

Stop AI Alerts

OFF

Alerts trigger when conditions are met (Pwf < Pb, Temp > 120°C, etc.)

Parameter Change Log

[Initial] Default parameters loaded

Operation Mode

Auto Mode

Manual Mode

AUTO

Manual mode: Edit parameters then click "Apply Changes" to start from new values

Pump Performance

AUTO Auto Freq - + Hz: 50.0

3D Impeller (rotates with frequency)

🔥 HIGH TEMPERATURE

💨 GAS INTAKE

🛑 SHAFT STUCK

⚡ HARD RUNNING

Pump Curve + System + Operating Point

Flow Rate (BFPD)

Head (ft)

Pump Specifications

Pump Model

BKR 400 P60

Max Flow

8200 BFPD

Max Head

28.68 ft

Max Power

1.33 HP

Max Efficiency

67.61%

BEP Rate

5600 BFPD

Stages

Live Inputs

Freq (Hz)

Current (A)

PIP (psi)

PDP (psi)

WHP (psi)

ΔP (psi)

1300

WC (%)

GOR (scf/stb)

Tm (°C)

Set Values (Manual Override)

Set Current (A)

Set ΔP (psi)

Min Load (%)

Max Load (%)

Set Temp (°C)

Derived (live)

Operating Q

—

Operating Head

—

Hydraulic HP

—

Efficiency

—

Power (kW)

—

Load Factor

—%

Health Flags

Overload

Underload

Below Pb

Pump Limit

Temperature

Shaft Status

Data Transmission

STABLE Streaming trends (1 Hz)

Trends

Time (seconds)

Pressure (psi)

Comms

Mode

AUTO

Transmission

STABLE

Last update

—

Update Rate

1.0 Hz

Active Pump

Selected Pump

BKR 400 P60

Status

OPERATIONAL

Runtime

0 hours

Alert Triggers

Temp Limit

120°C

Pb Threshold

2660 psi

Overload %

95%

Underload %

25%

Quick Reports

Current operating parameters

Current Status

PIP: 2200 psi

PDP: 3500 psi

Pwf: 3100 psi

WHP: 500 psi

Current: 35.0 A

Temperature: 95°C

Frequency: 50.0 Hz

Water Cut: 25%

Load Factor: —%

Efficiency: —%

AI Summary

System operating normally. No critical alerts detected.

Transmission Lines

PIP: 2200 psi

PDP: 3500 psi

Pwf: 3100 psi

WHP: 500 psi

Current: 35.0 A

Temp: 95°C

WC: 25%

Hover over lines for details. Status: ● Green ○ Red ● Yellow ● Blue

Time	Type	Message	Source

Software Connection

Ellipzys AI Enhanced Real-time API

Ellipzys AI:

PROSPER:

GAP:

MBAL:

AI Settings

Model:

Temperature:

Auto-analyze:

Connection Status

Ellipzys AI

Disconnected

PROSPER

Disconnected

GAP

Disconnected

MBAL

Disconnected

Last Update

—

3D Well Visualization

AI Enhanced Real-time Animation Physics Simulation

3D ESP Pump & Well System

AI OPTIMIZED

Production Profile

AI PREDICTION

AI Enhanced Controls

View Mode

AI Rotation

Zoom Level

Show Grid

AI Annotations

Physics Mode

AI Analysis

Vertices

Faces

AI FPS

Fluid Flow

0 m³/s

AI Pressure

0 psi

AI Efficiency

— %

Input Parameters

AI Optimized PROSPER SYS Inputs Physical Constraints

Frequency Control

Hz: 50.0

WHP (Well Head Pressure)

psig: 450

Water Cut (%)

%: 27.0

Temperature

°F: 120

AI Natural Language Input

AI Quick Actions

AI Optimized Parameters

SOL Index

5 AI

Pressure

— psig

— %

GOR

— scf/stb

AI Freq Index

148

Temperature

— °F

AI Predicted Values

Qliq

— BPD

PIP

— psig

PDP

— psig

PmpInRate

—

PmpHead

— m

AI Efficiency

— %

AI Analysis Results

Status

Idle

Last AI Run

—

AI Runtime

—

AI Confidence

—

Iterations

AI Convergence

—

Results & Monitoring

Ellipzys AI Enhanced Live AI Updates

AI Output Parameters (SOL[5])

QLIQ

— BPD

PIP

— psig

PDP

— psig

PmpInRate

—

PmpHead

— m

AI Power

— kW

AI Efficiency

— %

AI Quality Flags

AI Convergence

AI OK

Stability

Physical

Range Check

AI Physics

AI OK

AI Energy Balance

AI OK

AI Software Links

Ellipzys AI

Inactive

PROSPER

Inactive

GAP

Inactive

MBAL

Inactive

AI LOGS

Time	Source	Message	Value	Unit	Status

ESP Risk Management & Optimization System

Low Risk (<70%)

Medium (70-90%)

High (>90%)

Motor Pump Seal

Total Wells

Average Risk

High Risk Wells

Optimizations

ESP Risk Management System v3.0 - Based on GE Sizing Manual

ElectroSpeed Advantage VSD Expert System

Baker Hughes Variable Speed Drive | Ellipzys AI Integration | Information 3D INTERFACE

VSD System Overview

6/12/24 Pulse

NEMA 1 & 4

2000 Series 6P

AI: Ready

System Online

AI Assistant Active

Active IOT Alarms

No active IOT alarms

Ellipzys AI Analysis

Ready to answer questions

Key Components Health

⚡

Power Supply Board

908241-A

Healthy

🧠

System Control Board

906610-B

Healthy

🔌

Inverter Signal Board

902090-G

Healthy

🔋

Converter Signal Board

902088-C

Healthy

💎

IGBT Modules

900545-B

Healthy

🔧

SCR Modules

88465-B

Healthy

IOT Diagnostic Center

TRIP THRESHOLD: 8V

AI Assisted

IOT Source Identification

Load Fault (Most Common)
Consistent pattern, follows cables

Inverter Hardware
ISB LEDs abnormal, consistent phase

Converter Hardware
Random pattern, DC bus issues

Incoming Power
Random pattern, power quality

Diagnostic Procedure

1. Check IOT pattern consistency

2. Inspect ISB LEDs (PWR, SIG, FLT)

3. Perform No-Load Test

4. Rotate output cables (A→B→C→A)

Ellipzys AI Assistant

AI Powered

Document Based

Ellipzys AI:
I'm ready to answer questions about the ElectroSpeed Advantage VSD based on the 2018 troubleshooting manual. What would you like to know?

Examples:
• "What is the torque specification for C901454 PDB?"
• "How do I test IGBTs in the field?"
• "What causes IOT conditions?"
• "Explain the no-load test procedure"
• "What are the common failure modes for ISB?"

Quick Questions

Component Library & Procedures

From CTB09-006

AI Enhanced

Critical Torque Points

Part Number	Description	Torque (IN-LBS)	Torque (N-m)
C901455	PDB; 3/8" DIA STUD; LENGTH 5"	228	26
C901454	PDB; 1/2" DIA STUD; LENGTH 7 5/8"	496	56
C900879	M8 screw, 25mm long, HEX head	252	28
C58869	M8 screw, 20mm long, HEX-PHILLIPS	140	15

Common Failure Components

Component	Failure Rate	Common Causes
IGBT Modules	High	Overcurrent, thermal cycling, gate drive failure
ISB	Medium	Failed IGBT damages gate resistors/diodes
SCR Modules	Medium	dv/dt stress, gate lead issues

ESP Application Engineering(R&D)

Electric Submersible Pump systems

I am an ESP Application Engineering expert 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 13+ 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
Solid understanding of IPR-VLP-ESP system matching and operating envelope control.
Experience applying prosper/mbal/GAP concepts for performance tuning and history based optimization.
Strong foundation in automation and control systems(PLC/SCADA awarness,RTU ,field instrumentation).
Development of python based engineering and risk assessment tools for esp wells and AI data analystics also.
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.

R&D and Manufacturing Insight

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.
Engineering decisions driven by data,trends and physics (not assumptions).

AI & Predictive Analytics in ESP

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.

Key Skills

ESP Design & Commissioning
AI/ML for Artificial Lift
PLC/SCADA
Predictive Maintenance Modeling
CFD Simulation & Flow Analysis
ESP Completion & NMR Documentation
Field Automation & Chatbot Development
Data Analytics for Failure Diagnostics
3D modeling

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
Lower Operating Costs
Prevent wax or scale buildup
Prevent failure and catastrophic damage to your pumpjack
Extend asset life and avoid downtime with early anomaly detection.
Simplify Operations
Remote well visibility
Control your day
Reduce risk
Improve safety.

AI Real time well screen

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.

1.Basic ESP data collection

Collect and analyze the well data that will be used in the design

2.Production Capacity

Determine the well productivity at the desired pump setting depth or determine the pump setting depth at the desired production rate

3.Gas calculations

Calculate the fluid volumes, including gas, at the pump intake conditions

4.Total Dynamic Head

Determine the pump discharge requirement.

5.Pump Type

ESP downhole pump to increase the pressure in the well to overcome the sum of flowing pressure losses.

6.Optimum size of Components

Select the optimum size of pump, motor, and seal section and check equipment limitations.

7.Electric Cable

Select the correct type and size of cable

8.Accessories and Optimal Equipments

Select the motor controller, transformer, tubing head and optional equipment

9.Variable Speed Pump System

For additional operational flexibility, select the variable speed submersible pumping system

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.

Learn More

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.

Learn More

IPM SUITE(PROSPER,MBAL,GAP & RESOLVE)

PE Limited (Petex) develop the Integrated Production Modelling software (IPM). IPM models the complete oil or gas production system including reservoir, wells and the surface network.

ESP run life reliability analysis

Petroleum holy book 1

Download

Petroleum Holy book 2

Download

AI-Powered ESP OnePager BUS1 Dashboard

AI-Powered ESP OnePager Dashboard This AI-enabled ESP OnePager Dashboard is an advanced, automated engineering tool designed to deliver instant well diagnostics, root cause analysis, and optimization guidance through a single, intelligent interface. Core Functionality When a well number is selected, the system automatically: Pulls all associated well, reservoir, and ESP configuration data Auto-links correlated parameters (pressure, rate, frequency, PI, drawdown, motor load, pump stages, efficiency, etc.) Performs real-time engineering calculations using embedded physics-based formulas Generates an AI-driven Root Cause Analysis (RCA) with conclusions and corrective actions This eliminates manual calculations, reduces analysis time, and ensures consistent, engineering-grade decision making. Purpose The dashboard enables real-time decision support by integrating operational data, runtime analytics, and failure intelligence into a structured, easy-to-navigate interface. It supports production optimization, early fault detection, and reliability improvement for ESP-operated wells.

Download

BUS3 DASHBOARD

This Excel-based dashboard is a comprehensive ESP operations, performance, and reliability monitoring system, designed to provide a single, consolidated view of ESP well health, runtime behavior, and failure trends across multiple wells and BUS3 regions.

Download

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

ESP Application Engineering AI Lab

Platform Features

Advanced ESP Sizing

Pump Curve Analysis

Affinity Laws Simulator

VSD 3D Expert System

AI Well Monitoring

IPM Automation

Information

Mohamed Shanees - ESP Application AI Expert

ESP Sizing Calculator

Well & Fluid Parameters

Pump Selection

Sizing Results

AI Recommendations

Formula Reference

ESP Sizing Formulas:

Pump Curve Analysis

Affinity Laws Calculator

Base Parameters

Affinity Laws Results

Affinity Laws Formulas

Affinity Laws:

VSD 3D Expert System

Troubleshooting Guide

Common ESP Problems

Gas Locking

Solution:

AI Recommendation:

Sand Erosion

Solution:

AI Recommendation:

Scale Formation

Solution:

AI Recommendation:

Motor Overheating

Solution:

AI Recommendation:

AI Diagnostic Tool

AI Diagnosis:

Case Studies

Case Study Database

AI Case Analysis

AI Response:

AI Well Monitoring Dashboard

IPM Suite Automation Dashboard

GAP (General Allocation Package) Integration

MBAL (Material Balance) Integration

AI Analysis Center

AI Response:

ESP Training Program

Day 1: ESP Fundamentals & Equipment

Day 2: Pump Curve Analysis & Sizing

Day 3: Advanced Sizing & System Design

Day 4: Installation & Startup Procedures

Day 5: Troubleshooting & Optimization

Training Progress

Ellipzys ESP AI Assistant

ESP & Oil & Gas AI Assistant

Supported File Formats for Oil & Gas Analysis:

Uploaded Files:

Analyzing your ESP/Oil & Gas query...

Engineering Parameters

Optimization Recommendations

AI Analysis & Optimization Plan

Save Project

Load Project

ElectroSpeed Advantage VSD Expert System

Active IOT Alarms

Ellipzys AI Analysis

Key Components Health

ACTIVE IOT ALARM

IOT Source Identification

🧠 Ellipzys AI Analysis

Diagnostic Procedure

Quick Questions

Critical Torque Points

Common Failure Components

Ellipzys AI Chat - VSD Expert

Component Details