This workshop builds the complete advanced well test interpretation workflow in Excel, from raw gauge data through to a defensible reservoir model, with every calculation visible and auditable — no commercial PTA software, no black boxes, no VBA. Day one covers derivative diagnostics built from scratch, wellbore storage and skin decomposition with the damage economics that follow, dual porosity and radial composite systems, hydraulically fractured well behaviour, and proper gas well analysis using real gas pseudo-pressure and deliverability testing. Day two handles the tests that field operations actually produce: variable rates and superposition, boundary effects and the reservoir limit test, DST interpretation, type-curve matching, interference and pulse testing for interwell permeability and anisotropy, step-rate injectivity and fracture pressure, horizontal well flow regimes, and a Solver-driven history match that closes with a hard look at non-uniqueness and test design. The course assumes working knowledge of radial flow, the semilog straight line and the Horner plot — basic drawdown and buildup theory is treated as prior knowledge, not taught — and every topic is worked on a real interpretation problem using field-shaped datasets, with participants leaving holding unlocked workbooks they can re-point at their own wells by pasting one column.

Workshop Objectives

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


Build a Bourdet three-point derivative engine from scratch, including logarithmic resampling, smoothing control and Agarwal equivalent time, and recognise gauge drift and end-of-test artefacts before they corrupt an interpretation


Read the reservoir model off the derivative rather than assuming it, and distinguish dual porosity, radial composite, fractured-well and boundary signatures from one another


Determine wellbore storage coefficient and dimensionless groupings, decompose skin into mechanical, rate-dependent and geometric components, and convert the result into flow efficiency, damage ratio and stimulation payback


Extract storativity ratio and interporosity flow coefficient in naturally fractured reservoirs, and explain why a dual-porosity well can appear to have negative skin


Quantify mobility contrast and distance to a flood front from a radial composite response, and separate a genuine front from a facies change or a damaged zone


Apply square-root and fourth-root-of-time specialised plots to obtain fracture half-length, conductivity and dimensionless conductivity, and compare the effective propped half-length against the frac design


Construct a real gas pseudo-pressure table in Excel using iterative Z-factor and viscosity correlations, and convert a gas buildup into an equivalent liquid problem and back


Analyse four-point and isochronal deliverability tests by both back-pressure and LIT methods, separate true skin from the non-Darcy coefficient, and generate absolute open flow potential and a full gas IPR


Build a superposition time function from an arbitrary rate schedule and recover a usable answer from a test that operations interrupted, choked back or cut short


Identify sealing faults, channels and closed systems from derivative signatures, and convert pseudo-steady-state behaviour into pore volume, drainage area, shape factor and OOIP


Interpret DST pressure records, run validity checks on a short test, and state clearly which reservoir and fluid conclusions a DST supports and which it does not


Match observed pressure and derivative against type curves to extract permeability, skin and storage, and recognise when a visual match misleads


Design and interpret interference and pulse tests, resolve directional permeability and anisotropy orientation from multiple observation wells, and explain why a single well pair cannot give this


Determine formation parting pressure, fracture gradient and a safe maximum injection pressure from a step-rate injectivity test


Analyse horizontal well tests across all three flow regimes to obtain vertical-to-horizontal anisotropy, effective producing length and the split between mechanical and geometric skin


Run a nonlinear Solver regression on permeability, skin, storage and boundary distance simultaneously, demonstrate non-uniqueness with competing parameter sets, and reverse the model to specify shut-in duration, radius of investigation and gauge resolution for a future test


Review and challenge a third-party PTA report using a structured QC checklist

About the Presenter

Your Expert trainer is a highly accomplished Reservoir Engineering Team Leader possessing over 14 years of experience in the energy sector. He has a proven track record of success in reservoir management, characterization, and production optimization.


Reservoir Engineering: Leading and mentoring teams, conducting comprehensive reservoir evaluations, and developing strategies to maximize hydrocarbon recovery.


Data Analysis and Interpretation: Analyzing production data, material balance, RFT/MDT data, and pressure transients to optimize reservoir performance and identify opportunities for enhanced recovery.


Software Proficiency: Utilizing industry-standard software such as Techlog, Volumetric, DCA, MBE, OFM, and KAPPA for reservoir simulation, analysis, and hydrocarbon estimation.


Training and Development: Designing and delivering training courses on key reservoir engineering topics, including waterflooding, PVT analysis, and reservoir simulation.


Trainer has deep understanding of reservoir engineering principles, coupled with his strong analytical and problem-solving skills, make him a valuable asset. He consistently delivers technical solutions that drive efficiency and improve the performance of E&P portfolios.

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Material Balance Modeling
November 28, 2026 - November 29, 2026
Material Balance Modeling

Material balance is one of the most direct methods available to a reservoir engineer for estimating hydrocarbons in place, identifying the drive mechanism and forecasting reservoir performance. It requires far less data than a full numerical model, and when it is set up correctly it produces results that can be defended in technical reviews and reserve audits.This workshop covers the complete material balance workflow as it is applied on producing assets. It begins by placing the reservoir within the integrated production system, then moves through data preparation and quality control, tank model construction, drive mechanism identification, and the use of analytical and graphical diagnostic tools. Participants work through the classical diagnostic plots, including Dake and Campbell, and learn how to read what each plot indicates about depletion, gas cap expansion and water influx.The second part of the workshop addresses history matching using both analytical and graphical techniques, determination of STOIIP, aquifer identification and sizing, and running prediction cases to generate production forecasts and recovery estimates. Results are compared against volumetric and simulation-based estimates so that participants understand where material balance is reliable and where a numerical model becomes necessary.The workshop is delivered at an advanced level and is intended for engineers who already work with production and pressure data and want a structured, repeatable method for in-place volumes, drive mechanism evaluation and performance prediction.