Unconventional Reservoir Performance Analysis Training Course

Unconventional Reservoir Performance Analysis Training Course

Introduction

Unconventional Reservoir Performance Analysis Training Course is designed to equip oil and gas professionals with advanced technical knowledge and practical skills for evaluating, interpreting, and optimizing the performance of unconventional hydrocarbon reservoirs. This specialized training course explores unconventional reservoir engineering, reservoir characterization, production data analytics, decline curve analysis, rate transient analysis (RTA), pressure transient analysis, hydraulic fracturing performance, and reservoir simulation. Participants will learn how geological complexity, natural fractures, stimulated reservoir volume (SRV), fluid properties, and completion designs influence production performance. The course also examines modern analytical approaches, including machine learning in reservoir engineering, predictive production modeling, and data-driven reservoir surveillance, enabling participants to transform complex field data into actionable engineering insights.

The course emphasizes practical applications of unconventional reservoir performance evaluation, production forecasting, estimated ultimate recovery (EUR), well productivity optimization, and reservoir management strategies. Through technical exercises, industry-based case studies, and real-world production scenarios, participants will develop the ability to identify production decline patterns, diagnose well underperformance, evaluate fracture effectiveness, and distinguish reservoir-related challenges from operational constraints. The program also covers horizontal well performance, multistage hydraulic fracturing, parent-child well interference, pressure depletion, refracturing opportunities, and economic optimization. Participants will explore how integrated reservoir models and advanced analytics can support field development planning, reserves estimation, capital allocation, and long-term production sustainability. By the end of the training, attendees will be better prepared to improve unconventional reservoir recovery, reduce uncertainty in production forecasts, optimize development strategies, and make technically sound, commercially informed decisions in increasingly data-intensive oil and gas operations.

Course Duration

5 days

Course Objectives

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

1. Analyze unconventional reservoir characteristics to understand the influence of shale, tight sandstone, and low-permeability carbonate formations on hydrocarbon production.
2. Apply advanced production data analytics to evaluate well performance and identify production trends, anomalies, and optimization opportunities.
3. Perform decline curve analysis (DCA) using suitable models to forecast production and estimate ultimate recovery.
4. Interpret rate transient analysis (RTA) results to identify reservoir flow regimes and evaluate well productivity.
5. Evaluate the effectiveness of multistage hydraulic fracturing and stimulated reservoir volume in improving hydrocarbon recovery.
6. Assess horizontal well performance using production histories, completion data, and reservoir characteristics.
7. Develop reliable estimated ultimate recovery (EUR) forecasts while accounting for uncertainty and operational constraints.
8. Utilize reservoir simulation and production modeling to predict unconventional reservoir behavior under different development scenarios.
9. Identify parent-child well interference and evaluate its effects on production, pressure depletion, and recovery efficiency.
10. Apply machine learning and predictive analytics to enhance production forecasting and identify underperforming wells.
11. Evaluate well spacing, completion design, and landing-zone selection to improve field development efficiency.
12. Conduct reservoir surveillance and performance benchmarking to support proactive production optimization.
13. Integrate technical performance indicators with reserves evaluation, economic analysis, and data-driven asset management to support investment decisions.

Target Audience

1. Reservoir engineers responsible for unconventional reservoir evaluation and production forecasting.
2. Petroleum engineers involved in shale gas, tight oil, and tight gas development.
3. Production engineers seeking to improve well performance and diagnose production challenges.
4. Geoscientists and petrophysicists working on unconventional reservoir characterization.
5. Hydraulic fracturing and completion engineers evaluating stimulation effectiveness.
6. Reservoir simulation specialists and production data analysts supporting field development.
7. Asset managers, technical managers, and field development planners responsible for production performance.
8. Energy consultants, reserves evaluators, and technical professionals involved in unconventional resource investment and optimization.

Course Modules

Module 1: Fundamentals of Unconventional Reservoirs

• Definition and classification of unconventional reservoirs, including shale oil, shale gas, tight gas, and tight oil.
• Key geological properties: porosity, permeability, organic richness, and total organic carbon (TOC).
• Reservoir heterogeneity, natural fractures, and geomechanical influences on hydrocarbon production.
• Fundamentals of unconventional hydrocarbon storage, transport mechanisms, and flow behavior.
• Case Study: Comparing production characteristics of a shale gas reservoir and a tight oil reservoir to identify the geological factors driving performance differences.

Module 2: Unconventional Reservoir Characterization and Data Integration

• Integration of geological, petrophysical, geophysical, and engineering datasets.
• Interpretation of well logs, core analysis, pressure data, and laboratory measurements.
• Evaluation of rock quality, fluid properties, brittleness, and reservoir producibility.
• Application of geostatistical methods to understand reservoir heterogeneity and spatial variability.
• Case Study: Integrating core, well-log, and production data to identify high-potential landing zones in a heterogeneous shale formation.

Module 3: Production Data Analysis and Performance Diagnostics

• Collection, validation, and interpretation of oil, gas, and water production histories.
• Calculation and analysis of key performance indicators, including initial production rates and cumulative recovery.
• Identification of production anomalies, operational downtime, and artificial constraints.
• Application of production normalization and comparative well-performance benchmarking.
• Case Study: Investigating underperforming horizontal wells using production histories, completion records, and operational data to distinguish reservoir limitations from facility-related issues.

Module 4: Decline Curve Analysis and Production Forecasting

• Fundamentals of conventional and unconventional decline curve analysis.
• Application of exponential, hyperbolic, and harmonic decline models.
• Evaluation of transient flow effects and their influence on early-time production forecasts.
• Estimation of estimated ultimate recovery (EUR), remaining reserves, and economic limits.
• Case Study: Comparing decline curve models for a group of tight oil wells to develop defensible production forecasts and assess forecast uncertainty.

Module 5: Rate Transient Analysis and Flow Regime Interpretation

• Principles of rate transient analysis and its role in unconventional reservoir evaluation.
• Identification of linear flow, bilinear flow, boundary-dominated flow, and transitional flow regimes.
• Application of diagnostic plots and material balance concepts to production data.
• Evaluation of effective fracture properties, reservoir drainage, and well productivity.
• Case Study: Using rate transient analysis to investigate fracture-dominated production and estimate effective reservoir properties in a multistage-fractured horizontal well.

Module 6: Hydraulic Fracturing Performance and Completion Optimization

• Evaluation of multistage hydraulic fracturing designs and completion effectiveness.
• Assessment of fracture conductivity, stage spacing, cluster efficiency, and proppant placement.
• Analysis of stimulated reservoir volume (SRV) and effective fracture connectivity.
• Optimization of lateral length, stage density, fluid volumes, and completion intensity.
• Case Study: Comparing production outcomes from two completion designs to determine whether increased stimulation intensity delivers sufficient incremental recovery and economic value.

Module 7: Reservoir Simulation, Predictive Analytics, and Well Interference

• Fundamentals of unconventional reservoir simulation and complex flow modeling.
• Integration of geological models, fracture networks, pressure data, and production history.
• Application of machine learning and predictive analytics to production forecasting and anomaly detection.
• Analysis of parent-child well interference, fracture-driven interactions, and depletion-related performance changes.
• Case Study: Evaluating a shale development pad experiencing declining child-well productivity and using integrated modeling to assess well spacing, interference risks, and alternative development scenarios.

Module 8: Reservoir Management, Recovery Optimization, and Economic Evaluation

• Development of integrated reservoir management strategies for unconventional assets.
• Identification of refracturing, workover, and production enhancement opportunities.
• Evaluation of infill drilling, well spacing, landing-zone selection, and development sequencing.
• Integration of production forecasts, uncertainty analysis, capital expenditure, and operating costs.
• Case Study: Preparing an optimization plan for a mature unconventional field by ranking candidate wells according to incremental recovery potential, technical risk, and economic performance.

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.