UPWE7449
Niagara
Monday, 05 Jan 2026 - Friday, 09 Jan 2026
Hotel in Niagara
Price: 7900 €
This course provides a structured and practical pathway to mastering well test analysis for reliable reservoir evaluation and production decision-making. It explains how pressure transient behavior reveals permeability, skin, wellbore storage, boundaries, and reservoir connectivity. Participants learn how to design, execute, and interpret common tests with disciplined quality control. The course emphasizes recognizing flow regimes and selecting appropriate interpretation models. It covers both oil and gas well behavior and addresses real operational constraints that affect test quality. Data handling, noise management, and diagnostic plotting are treated as essential skills. The program also links well test outcomes to reservoir characterization, stimulation evaluation, and development planning. Participants build confidence in communicating results and uncertainty to multidisciplinary teams. The training develops repeatable workflows that improve interpretation consistency across field conditions.
The purpose of this course is to build applied competence in well test analysis by focusing on pressure transient interpretation and fit-for-purpose deliverables. It addresses the need for dependable reservoir parameters derived from short-term tests and longer production data. The scope includes fundamentals of flow in porous media, wellbore effects, test design logic, and interpretation methods. Participants learn how to identify flow regimes using diagnostic plots and match them to physical reservoir behavior. The course explains the implications of skin, damage, stimulation, and completion type on test signatures. It also covers boundary behavior, dual-porosity systems, and layered reservoirs at a practical level. Emphasis is placed on data quality, gauge selection, rate measurement accuracy, and operational planning. Uncertainty evaluation is integrated so that outputs are reported with realistic confidence levels. The course prepares participants to deliver well test interpretations that support reservoir management and production optimization.
Participants will achieve the following objectives by the Well test analysis course:
• Explain pressure transient principles and connect observed pressure behavior to reservoir properties using clear interpretation logic.
• Select appropriate test types and propose a practical test design that meets defined objectives under operational constraints.
• Prepare and validate test data by applying systematic quality control to rates, pressures, and time synchronization.
• Identify flow regimes on diagnostic plots and interpret wellbore storage, skin, and formation response with measurable criteria.
• Estimate permeability, skin, and near-wellbore effects and evaluate the reliability of each estimate using consistent checks.
• Diagnose reservoir boundaries, connectivity, and heterogeneity signals and relate them to reservoir architecture.
• Evaluate stimulation or damage impact by comparing test outcomes and interpreting changes in skin and productivity.
• Quantify uncertainty and present interpretation scenarios that bracket key reservoir parameters and development implications.
• Produce a concise well test report that communicates assumptions, limits, and actionable conclusions to stakeholders.
This Well test analysis program targets a professional audience seeking to improve knowledge and skills:
• Reservoir engineers responsible for well performance evaluation.
• Production engineers planning well interventions and surveillance.
• Petroleum engineers supporting field development decisions.
• Reservoir geologists integrating tests with reservoir models.
• Subsurface teams interpreting pressure and rate behavior.
• Well engineers coordinating test execution and operational planning.
• Asset teams managing uncertainty in reservoir deliverability.
• Professionals moving into well testing and reservoir surveillance roles.
• Define the purpose of well test analysis in reservoir engineering and reservoir management decisions.
• Review fundamental flow concepts in porous media and relate them to measurable pressure responses.
• Explain pressure transient behavior and the meaning of permeability, skin, and productivity indicators.
• Introduce test types and select when to use buildup, drawdown, injection, and interference tests.
• Identify critical data inputs such as rate history, pressure gauges, fluid properties, and completion details.
• Build a disciplined workflow from raw data to interpretation-ready datasets with traceable steps.
• Establish quality-control checks for time alignment, rate stability, gauge drift, and missing data segments.
• Recognize common operational issues that degrade test quality and define mitigation thinking within constraints.
• Construct and interpret diagnostic plots to identify flow regimes using observable signatures.
• Differentiate wellbore storage dominated behavior from formation dominated behavior with clear criteria.
• Interpret skin and near-wellbore effects and relate them to damage, completion efficiency, and stimulation outcomes.
• Analyze the influence of multiphase flow, rate changes, and noise on diagnostic plot reliability.
• Understand the consequences of superposition and why variable rates require careful data handling.
• Identify early-time and middle-time responses and explain what each reveals about the well and formation.
• Perform practical consistency checks between derivative behavior, rate history, and physical expectations.
• Document interpretation decisions and the evidence supporting each flow-regime identification.
• Select interpretation models that fit observed flow regimes and the known reservoir setting.
• Estimate permeability and skin with disciplined parameter extraction and validation steps.
• Interpret boundary effects such as sealing faults, no-flow boundaries, and constant pressure support.
• Recognize late-time signatures that indicate drainage area limits or strong external support.
• Diagnose reservoir heterogeneity signals such as layered flow, anisotropy, or permeability contrasts.
• Evaluate dual-porosity behavior and identify fracture-dominated signatures when applicable.
• Compare alternative model matches and justify the most defensible interpretation based on evidence.
• Quantify how data limitations affect parameter confidence and report ranges rather than single values when needed.
• Interpret well tests in gas wells and account for gas compressibility effects on pressure behavior.
• Evaluate the impact of non-Darcy flow and high-rate effects on test interpretation quality.
• Interpret tests in horizontal and fractured wells and recognize signatures that differ from vertical wells.
• Address multilayer and commingled production cases with practical diagnostic thinking.
• Handle injection and falloff tests and connect results to injectivity and formation damage evaluation.
• Incorporate wellbore hydraulics, completion elements, and perforation efficiency into interpretation logic.
• Recognize operational artifacts such as gauge placement issues, rate measurement error, and shut-in instability.
• Build interpretation scenarios that remain physically consistent under complex well and reservoir conditions.
• Integrate well test results with reservoir models, geological understanding, and production history.
• Translate interpreted parameters into reservoir development implications such as well spacing and connectivity risk.
• Evaluate stimulation success and surveillance strategies using test-derived productivity and skin indicators.
• Define uncertainty ranges and present scenario-based outputs for planning and risk management.
• Communicate results clearly using structured reporting that highlights assumptions and limitations.
• Create interpretation summaries suitable for technical approval and cross-discipline decision-making.
• Apply a repeatable checklist for quality control, model selection, and confidence grading.
• Consolidate learning into a workflow that can be applied consistently across different assets and test types.
This [Well test analysis] course is available in different durations: 1 week (intensive training), 2 weeks (moderate pace with additional practice sessions), or 3 weeks (a comprehensive learning experience). The course can be attended in person or online, depending on the trainee's preference.
This [Well test analysis] course is delivered by expert trainers worldwide, bringing global experience and best practices. The instructors have extensive experience in well testing, reservoir engineering, and field surveillance across diverse reservoirs. Their delivery emphasizes disciplined workflows, diagnostic thinking, and practical decision support. Training focuses on data quality, model selection, and uncertainty-aware reporting. Participants benefit from applied expertise that aligns well test interpretation with reservoir management needs.
1- Who should attend this [Well test analysis] course?
Reservoir and production engineers, subsurface professionals, and anyone responsible for interpreting pressure and rate data for well and reservoir decisions.
2- What are the key benefits of this [Well test analysis] training?
Participants gain a repeatable approach to interpret flow regimes, estimate key reservoir parameters, and report uncertainty with confidence.
3—Do participants receive a certificate? Yes, upon successful completion, all participants will receive a professional certification.
4- What language is the course delivered in? English and Arabic.
5- Can I attend online? Yes, you can attend in person, online, or in-house at your company.
This course builds practical mastery of well test analysis for reservoir evaluation and production decision-making. It strengthens the ability to diagnose flow regimes and extract reliable permeability and skin estimates. Participants learn to manage data quality issues and interpret boundary and heterogeneity signals responsibly. The training improves uncertainty communication and reporting discipline. The outcomes support better reservoir management and more confident operational decisions.
