Program Description

This course provides a comprehensive learning experience blending upstream and midstream oil and gas operations with cutting-edge AI applications. The course covers the oil and gas field life cycle, exploration methods, drilling techniques, oil recovery methods, gathering and transportation, separation systems, storage, natural gas production and processing, safety, utilities, environmental concerns, and AI applications. It includes insights into geological and geophysical techniques, drilling systems, hydrocarbon extraction methods, midstream operations, natural gas processing and the use of AI and ML to optimize production workflows and enhance decision-making in the oil and gas industry.

Course Objectives

  • Understand the oil and gas field life cycle and exploration methods.
  • Learn various drilling techniques, equipment and methods used.
  • Explore oil recovery methods including primary, secondary and enhanced techniques.
  • Gain insights into midstream operations, separation systems and natural gas processing.
  • Apply AI and ML to optimize workflows and improve decision-making in petroleum engineering.

Key Highlights

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Exploration methods

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Drilling techniques

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Oil recovery methods

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Gathering and transportation

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Separation systems and storage

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Natural gas production and processing

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Safety, utilities, environmental concerns

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AI and ML applications oil and gas operations

Course enrollment data

Learning Format

Online

Duration

5 units

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras and
L&T EduTech

Program Fee

Rs. 5100/- Inclusive of Tax

Downloads

Program Description

Education Qualification

Students pursuing Diploma / UG / PG Programs in Chemical/ Petroleum/ Oil and Gas Engineering.

Suggested Prerequisites

Basic Chemical/ Petroleum/ Oil and Gas Engineering

Teaching Hours

29

Lead Faculty

Dr Jagannathan Krishnan

Subject Matter Expert, Chemical Engineering, L&T EduTech

A Professionally motivated Chemical Engineer obtained both M.Tech and Ph.D from Indian Institute of Technology Madras. He has over 25 years of teaching and research experience in Chemical Engineering, serving institutions like IIT Madras, VIT University, SSN Institutions in India and Universiti Teknologi Mara (UiTM) Malaysia.

Learning Schedule

Crude oil origin and reserves, formation and composition, geology and mineralogy, crude oil classification and overview of refining; Impacts of AI & ML in O&G Industry including Stock Price Prediction, Geomodelling Process, Estimation of density, specific gravity, mole fraction, viscosity, gas compressibility factor etc., Various methods of exploration including gravity, magnetic, seismic, electrical and electromagnetic as well as aerial surveys; exploration and related equipment, Seismic Data Processing Techniques (Salt body delineation) using AI & ML.

Derricks, rigs, drill bits, stimulation, production, water injection systems, compression; offshore platforms, subsea fabrication & installation, modular erection, Servicing structures, hoisting systems, rotary equipment, downhole motors, types and selection of drilling practices, well finishing and abatement, casing and tubing, mud hydraulics, wellhead, Christmas tree, single and dual completion; AI & ML in reservoir rock classification; AI & ML in well bore testing, conventional methods, tertiary methods using heat, steam, complex polymers, surfactants, and microbes to increase the recovery, offshore enhanced oil recovery.

Gathering station/ Process platform, flowlines and manifolds, measurements, pumps, beams, sub-surface, compressors, non-isothermal flow, pressure drop and pumping, corrosion monitoring and control, artificial lift methods, gathering stations and assembly, Types of separators, sludge catcher, test separator, group separator, dehydration, two phase and three phase separation systems, sizing of separators; Heater treater, condensate processing - multi-stage flash, stabilization; heat requirements, de-salting and stabilization, produced water treatment, Optimal Production Engineering in O&G Industry using AI & ML, Floating Production Storage and Offloading (FPSO) construction, offshore platforms, subsea, tank farms, above ground and underground storage, vapor recovery, Advances in AI Technology for O&G Industry: Service Oriented Architecture (SOA) of Big Data for O&G Industry.

Separation facility, gas compression, pressure vessels, separator design and construction, piping guidelines and safety, condensate stabilization, gas flow systems, gas lift, corrosion control, two stage separation, Dehydration and acid gas removal, dew point control, sweetening processes, solvent processes, liquid recovery, gas compression, processes at floating liquefied natural gas (FLNG) facility, liquefaction, re-vaporization at receiving terminals, Technology selection, pipelines, head loss and safety, booster stations, liquefaction, gas to liquid, gas to wire, subsurface storage.

Basic safety considerations, HAZOP & HAZID analysis of Oil & Gas Upstream Operations both offshore and onshore, Identification and significance of pollutants in upstream operations both onshore and offshore and their effect on water and air quality, handling of hazardous chemicals in oil and gas, and waste treatment methods and environmental management plan.



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