Field Development Optimization and Decision Analysis Training Course

Field Development Optimization and Decision Analysis Training Course

Introduction

Field Development Optimization and Decision Analysis Training Course is designed to equip oil and gas professionals with the advanced technical, economic, and strategic skills required to maximize hydrocarbon recovery, optimize field performance, and improve capital investment decisions throughout the field development lifecycle. This comprehensive training course explores integrated field development planning, reservoir characterization, production optimization, well placement strategies, facilities design, economic evaluation, uncertainty quantification, and risk-based decision analysis. Participants will learn how to integrate subsurface data, drilling strategies, production engineering, surface facilities, and commercial considerations into robust field development plans that maximize asset value while minimizing technical and financial risks.

Participants will develop the ability to evaluate alternative development concepts, prioritize investment opportunities, assess technical and commercial uncertainties, and select optimal development strategies under changing market conditions. Through real-world case studies, interactive exercises, and decision-analysis workshops, learners will explore how to improve recovery factors, optimize well and facility configurations, reduce nonproductive expenditure, and enhance project economics. The training also addresses net present value (NPV), economic sensitivity analysis, probabilistic forecasting, value of information (VOI), decision trees, Monte Carlo simulation, and multidisciplinary asset integration. By the end of the course, participants will be better equipped to make evidence-based decisions, strengthen field development performance, and deliver sustainable long-term value across onshore, offshore, conventional, and unconventional oil and gas assets.

Course Duration

5 days

Course Objectives

By the end of this training course, participants will be able to:

1. Apply integrated field development planning techniques to maximize hydrocarbon recovery and asset value.
2. Evaluate reservoir characteristics, production potential, and subsurface uncertainties for effective development planning.
3. Optimize well placement, well spacing, drilling sequences, and completion strategies to improve production performance.
4. Develop data-driven production forecasts using reservoir simulation and advanced predictive analytics.
5. Assess alternative field development concepts using multidisciplinary optimization frameworks.
6. Apply NPV, internal rate of return (IRR), and discounted cash flow analysis to investment decisions.
7. Conduct probabilistic risk assessment using Monte Carlo simulation and uncertainty quantification.
8. Use decision trees and multi-criteria decision analysis (MCDA) to compare development alternatives.
9. Optimize surface facilities, processing capacity, and infrastructure investment.
10. Apply production optimization and recovery enhancement strategies to improve field profitability.
11. Evaluate the value of information from seismic surveys, appraisal wells, and reservoir studies.
12. Integrate digital oilfield solutions, real-time monitoring, and predictive analytics into development decisions.
13. Develop lifecycle-based field development strategies that balance profitability, operational efficiency, environmental performance, and long-term asset sustainability.

Target Audience

1. Petroleum engineers and reservoir engineers.
2. Field development and production engineers.
3. Drilling, completions, and well intervention specialists.
4. Geoscientists, geologists, and geophysicists.
5. Oil and gas project managers and development planners.
6. Asset managers, operations managers, and production supervisors.
7. Petroleum economists, financial analysts, and investment decision-makers.
8. Energy consultants, technical advisors, and senior oil and gas executives.

Course Modules

Module 1: Fundamentals of Field Development Planning

• Principles and stages of integrated field development planning.
• Field lifecycle management from exploration to decommissioning.
• Integration of geology, geophysics, reservoir engineering, and production engineering.
• Identification of development objectives, constraints, and performance indicators.
• Case Study: Comparing phased and full-field development strategies for a newly discovered offshore reservoir.

Module 2: Reservoir Characterization and Development Concept Selection

• Reservoir architecture, fluid properties, and geological uncertainty.
• Reservoir characterization using seismic interpretation, well logs, and core data.
• Selection of suitable development concepts for different reservoir types.
• Evaluation of depletion strategies, pressure maintenance, and recovery mechanisms.
• Case Study: Selecting a development concept for a heterogeneous reservoir with uncertain connectivity and variable permeability.

Module 3: Well Placement, Drilling, and Completion Optimization

• Optimizing well locations, spacing, trajectories, and drainage areas.
• Evaluating horizontal wells, multilateral wells, and extended-reach drilling.
• Integrating drilling costs, completion designs, and reservoir performance.
• Assessing infill drilling, sidetracking, and well redevelopment opportunities.
• Case Study: Optimizing horizontal well placement to improve recovery while reducing interference between neighboring wells.

Module 4: Production Forecasting and Reservoir Performance Optimization

• Developing production profiles using decline curve analysis and reservoir simulation.
• Evaluating pressure depletion, water breakthrough, and gas production behavior.
• Identifying production bottlenecks and opportunities for well performance improvement.
• Integrating artificial lift, water injection, gas injection, and enhanced oil recovery.
• Case Study: Improving field production forecasts and recovery performance using revised well intervention and pressure maintenance strategies.

Module 5: Surface Facilities and Infrastructure Optimization

• Selecting processing facilities, pipelines, gathering systems, and export infrastructure.
• Matching facility capacity to reservoir production forecasts.
• Evaluating centralized versus decentralized processing configurations.
• Optimizing utility consumption, operating expenditure, and facility reliability.
• Case Study: Comparing shared infrastructure with standalone processing facilities for a cluster of offshore discoveries.

Module 6: Economic Evaluation and Investment Optimization

• Applying capital expenditure (CAPEX) and operating expenditure (OPEX) analysis.
• Calculating NPV, IRR, payback period, and economic break-even points.
• Evaluating oil and gas price assumptions, fiscal terms, and production costs.
• Conducting sensitivity analysis and economic scenario modeling.
• Case Study: Ranking competing field development projects under different commodity price and capital cost assumptions.

Module 7: Decision Analysis, Uncertainty, and Risk Management

• Applying decision trees, Bayesian reasoning, and probability-based evaluation.
• Using Monte Carlo simulation for production, cost, and schedule uncertainty.
• Evaluating geological, technical, operational, commercial, and regulatory risks.
• Applying value of information (VOI) to appraisal drilling and data acquisition decisions.
• Case Study: Determining whether additional appraisal drilling is economically justified before approving a major field development investment.

Module 8: Integrated Optimization, Digital Technologies, and Lifecycle Value

• Integrating subsurface, wells, facilities, and commercial models.
• Applying digital twins, real-time production data, and predictive analytics.
• Using multi-criteria decision analysis to rank development alternatives.
• Developing adaptive field development plans and lifecycle performance indicators.
• Case Study: Building an integrated optimization strategy for a mature oilfield facing declining production, rising water cut, and increasing operating costs.

Training Methodology

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.