Artificial Intelligence & Machine Learning in Upstream Operations

Course Introduction

Seattle International Institute for Training offers a specialized training course in Artificial Intelligence & Machine Learning in Upstream Operations. This course is designed for experienced professionals working in upstream oil and gas exploration and production. It focuses on technical excellence, innovative technologies, and integrated field strategies for optimizing reservoir performance and well operations.

Course Objectives

- Master advanced upstream technologies and methodologies.

- Enhance reservoir and well performance using proven field practices.

- Analyze data for effective exploration and production decisions.

- Apply geoscience and engineering integration in field development.

- Strengthen technical leadership in upstream operations.

Target Audience

- Reservoir Engineers

- Production and Drilling Engineers

- Geoscientists and Petrophysicists

- Well and Field Development Planners

- Technical Advisors and Team Leaders

- Professionals from KOC, Aramco, ADNOC, KGOC, and other oil & gas companies

Course Outline

Day 1: Exploration & Reservoir Fundamentals

·         Upstream lifecycle and exploration strategy overview

·         Reservoir types and classification

·         Geological and geophysical evaluation

·         Petrophysical data interpretation

·         Basin analysis and structure mapping

·         Introduction to reservoir modeling

Day 2: Reservoir Engineering & Characterization

·         Fluid properties and PVT analysis

·         Core analysis and well testing

·         Material balance and volumetric estimation

·         Reservoir drive mechanisms

·         Static and dynamic reservoir models

·         Case study: reservoir characterization

Day 3: Field Development & Production Planning

·         Field development plan design

·         Well spacing and completion strategies

·         Production forecasting methods

·         Enhanced Oil Recovery (EOR) screening

·         Surface facility considerations

·         Digital tools for production planning

Day 4: Well Engineering & Integrity

·         Drilling design for complex reservoirs

·         HPHT and unconventional wells

·         Hydraulic fracturing and stimulation

·         Wellbore stability and cementing

·         Well integrity monitoring

·         Operational risk and safety procedures

Day 5: Optimization & Case Studies

·         Integrated reservoir management

·         Surveillance and performance monitoring

·         Uncertainty management and decision making

·         Advanced EOR implementation

·         Cross-disciplinary collaboration

·         Workshop and real field case presentations