You will get AI/ML Solutions for Industrial Optimization & Automation
Project details
Customised Industrial Autopilot System:
Developed an Industrial Autopilot System tailored for oil & gas upstream operations. This system leverages an OPC Interface for seamless data exchange between control systems, ensuring adaptability across various industrial plants. It integrates five dynamic modules, such as, Advanced Process Control (APC), Parser, Prioritizer, AI/ML module, and a Virtual Flow Meter component—to meet diverse plant requirements and operational conditions.
Virtual Flow Meter (VFM):
Developed the Virtual Flow Meter (VFM) as a key module to monitor gas, oil, and water statuses via the plant DCS. The VFM captures data over set periods, training multiple machine learning models (Neural Networks, LSTM, KNN, Random Forest, SVR, and Gradient Boosting Regressor) in real time to predict well data and assess individual well performance from the well cluster. Users can evaluate model performance through detailed well testing statistics and deploy the optimal model, with the option to retrain as newer data becomes available.
Developed an Industrial Autopilot System tailored for oil & gas upstream operations. This system leverages an OPC Interface for seamless data exchange between control systems, ensuring adaptability across various industrial plants. It integrates five dynamic modules, such as, Advanced Process Control (APC), Parser, Prioritizer, AI/ML module, and a Virtual Flow Meter component—to meet diverse plant requirements and operational conditions.
Virtual Flow Meter (VFM):
Developed the Virtual Flow Meter (VFM) as a key module to monitor gas, oil, and water statuses via the plant DCS. The VFM captures data over set periods, training multiple machine learning models (Neural Networks, LSTM, KNN, Random Forest, SVR, and Gradient Boosting Regressor) in real time to predict well data and assess individual well performance from the well cluster. Users can evaluate model performance through detailed well testing statistics and deploy the optimal model, with the option to retrain as newer data becomes available.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, OpenCV, PyBrain, PyTorch, TensorFlowAI Development Language
PythonWhat's included $4,500
These options are included with the project scope.
$4,500
- Delivery Time 70 days
- Number of Revisions 3
- AI Model Integration
- Detailed Code Comments
- Knowledge Graph
- Model Documentation
- Ontology
- Source Code
About Andleeb
AI & ML Developer | Industrial Automation & System Integration
Abu Dhabi, United Arab Emirates - 8:02 pm local time
Key Accomplishments:
Developed a Universal Autopilot System: for a leading Oil and Gas company, capable of autonomously managing plant operations, reducing human error, and maintaining optimal performance and safety.
Created a Virtual Flow Meter: That monitors, measures, and records chemical flow with real-time data analysis, supporting efficient plant management.
Implemented advanced process control systems and parsers capable of executing up to 500 standard operations simultaneously, ensuring seamless plant operations.
Developed robust AI systems for anomaly detection, improving operational reliability and safety.
Technical Expertise:
Machine Learning & AI Frameworks: TensorFlow, PyTorch, Sci-kit Learn, LangChain, Huggingface
MLOps Tools: Weights and Biases, Neptune, MLFlow, BentoML, Docker
NLP & LLMs: LangChain, LlamaIndex, TextGrad, LangServe, LangSmith, MemGPT
Generative AI Tools**: Stable Diffusion, Runway, Opus, Midjourney
Computer Vision**: OpenCV
Development Frameworks**: Qt Framework
Integration & Communication Protocols**: OPC interface for data exchange
Collaboration Tools**: Zapier for automation and workflow integration
Experience Highlights:
1. Autopilot System for Oil and Gas Plants:
Led the design and development of an autopilot system that autonomously operates O&G plants using data from an OPC server.
Developed a multitasking parser capable of executing extensive standard operation procedures.
Integrated an AI-based anomaly detection system that preemptively identifies potential operational issues.
2. Virtual Flow Meter Implementation:
Created a virtual flow meter that provides real-time and historical flow data.
Enhanced the reliability of chemical flow monitoring through predictive modeling and seamless data extraction from SQL databases.
3. Advanced Process Control (APC) Solution:
Built multivariable control systems with up to five independent variables and one dependent variable for optimized process regulation.
Collaborated with cross-functional teams to integrate control strategies that maintained plant efficiency and safety.
Also developed model predictive control (MPC) for APC.
Professional Attributes:
Proven ability to lead complex projects from concept to completion.
Strong problem-solving skills with a focus on practical, data-driven solutions.
Effective communicator and team leader, ensuring collaborative project development.
Commitment to maintaining high standards of quality, security, and compliance.
What I Offer:
I have a team of developers so I may deliver large scale AI ML Development projects on priorities.
Tailored software solutions for industrial and automation projects.
Reliable quality assurance and rigorous testing for stable, secure software.
Timely delivery with a track record of meeting project milestones.
Comprehensive project documentation and training for smooth implementation.
Steps for completing your project
After purchasing the project, send requirements so Andleeb can start the project.
Delivery time starts when Andleeb receives requirements from you.
Andleeb works on your project following the steps below.
Revisions may occur after the delivery date.
Project Kickoff & Advance Payment
We’ll begin with a detailed discussion to understand your business objectives, data sources, and integration needs. Once the advance payment is made, the project scope, architecture, and timelines will be finalized.
Development Phase (Frontend, Backend & Database)
We will design and develop the complete solution, including the user-friendly frontend interface, backend logic and database structure. During this phase, we will also set up initial data connections and build the core AI/ML models if applicable.