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Advanced Basin Analysis

Dates Venues Register
17/08/2025 - 21/08/2025 DOHA

Introduction

Advanced Basin Analysis

Course Objectives

After completing this Pideya Learning Academy course, participants will be able to:

Understand the principles of basin analysis and its role in identifying hydrocarbon potential.

Examine and analyze basins through sedimentary formations, sequence stratigraphy, and subsurface pressure dynamics.

Identify critical data elements required for basin analysis and apply them to reduce exploration risks.

Evaluate risks associated with basin and petroleum systems modeling.

Develop basin models using advanced tools and sample data for more accurate exploration assessments.

Integrate geological and geophysical data to enhance petroleum systems modeling and play fairway analysis.

 

Who Should Attend?

This course is tailored for professionals involved in petroleum basin and systems modeling, including:

Exploration Geologists

Exploration Geoscientists

Exploration Managers

It is particularly relevant for those seeking to enhance their skills in hydrocarbon evaluation through advanced basin analysis techniques.

Course Outline

Module 1: Understanding the Function of a Business Systems Analyst

Role in aligning business needs with technical solutions

Key responsibilities and core competencies

Collaboration with cross-functional teams

Analytical and problem-solving methodologies

Module 2: Frameworks for Business Systems Analysis

Comparative approaches to systems analysis

Agile methodologies and principles

Waterfall and hybrid models

Business process re-engineering techniques

Module 3: Systems Development Frameworks and Methodologies

Phases of the Systems Development Lifecycle (SDLC)

Iterative vs. sequential development processes

Integration of DevOps practices

Importance of continuous testing and deployment

Module 4: Initiating Systems Development Projects

Project charter development and approval

Gathering preliminary business requirements

Conducting feasibility studies and cost-benefit analysis

Setting up governance structures for project oversight

Module 5: Stakeholder Analysis and Engagement

Identifying and categorizing stakeholders

Stakeholder impact analysis and prioritization

Strategies for managing stakeholder expectations

Communication planning and stakeholder reporting

Module 6: Developing a Strategic Vision for System Solutions

Crafting clear and actionable vision statements

Aligning system vision with organizational goals

Scenario planning and risk assessment

Techniques for gaining stakeholder buy-in

Module 7: Establishing System Boundaries and Scope

Techniques for defining system boundaries

Tools for scope management and documentation

Identifying out-of-scope elements

Managing scope creep and project constraints

Module 8: Business Process Modeling and Optimization

Process mapping techniques (BPMN, UML)

Identifying inefficiencies and improvement opportunities

Leveraging automation for process optimization

Conducting gap analysis for current and future states

Module 9: Requirements Gathering and Documentation

Elicitation techniques (interviews, workshops, surveys)

Writing clear and concise requirements specifications

Prioritizing and validating requirements

Tools for requirements management (JIRA, Confluence)

Module 10: System Design and Architectural Considerations

Translating requirements into system designs

Selecting appropriate architecture patterns (microservices, monolithic)

Ensuring scalability and performance optimization

Addressing cybersecurity and compliance requirements

Module 11: Risk Management in Systems Development

Identifying potential risks in system projects

Risk assessment frameworks (quantitative and qualitative)

Developing mitigation and contingency plans

Monitoring and controlling risk throughout the project

Module 12: Quality Assurance and Testing

Establishing quality benchmarks and KPIs

Types of testing (unit, integration, system, user acceptance)

Automating testing processes for efficiency

Tracking and resolving defects effectively

Module 13: Change Management and System Implementation

Planning for smooth system deployment

Training end-users and managing resistance

Ensuring data migration integrity

Post-implementation review and optimization

Module 14: Continuous Improvement in Business Systems

Establishing feedback loops for system enhancements

Monitoring system performance and uptime

Leveraging analytics for data-driven decisions

Planning for future upgrades and scalability

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