Reservoir Engineering services

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1. Basic Reservoir Engineering Studies: Fundamental analyses
aimed at understanding reservoir behavior and characteristics
to optimize hydrocarbon recovery.

Reservoir Characterization: Conducting comprehensive
studies to assess key reservoir parameters such as porosity,
permeability, saturation, and thickness, utilizing geological
and petrophysical data.

Material Balance Calculations: Applying material balance
principles to estimate original oil in place (OOIP) or gas in
place (OGIP) and evaluate reservoir performance over time.

Fluid Properties Analysis: Examining fluid characteristics,
including viscosity and density, to inform production
strategies and evaluate recovery methods.

Decline Curve Analysis: Utilizing historical production data
to predict future performance and estimate reserves
through decline curve methods.

Production Optimization Strategies: Developing and
recommending recovery techniques based on reservoir
conditions, including primary, secondary, and enhanced oil
recovery methods.

2. PVT and Well Test Studies: Investigating pressure
volume-temperature (PVT) relationships and conducting
well tests to enhance understanding of reservoir
dynamics and fluid behavior.

PVT Analysis: Performing laboratory PVT studies to
characterize fluid properties under varying
temperature and pressure conditions, which is
essential for modeling reservoir behavior.

Data Interpretation: Analyzing well test data to
determine reservoir pressure, permeability, skin
effects, and production rates, utilizing specialized
software for accurate interpretation.

Reservoir Deliverability Assessment: Evaluating the
ability of a reservoir to deliver hydrocarbons at
commercial rates based on well test results and PVT
data.

Integration of PVT and Well Test Results:
Collaborating with petrophysicists and geologists to
integrate PVT analysis and well test data into
comprehensive reservoir models.

3. Dynamic Simulation and History Matching: Utilizing reservoir simulation techniques to
model dynamic reservoir behavior over time and calibrate models against historical
production data.

Reservoir Simulation Model Development: Building numerical simulation models to replicate
reservoir conditions and predict future performance under various production scenarios.

Dynamic History Matching: Calibrating simulation models to match historical production data,
fluid distribution, and pressure behavior, ensuring accurate predictions for future operations.

Sensitivity Analysis: Conducting sensitivity analyses to assess the impact of different parameters
on reservoir performance, aiding in decision-making and optimization.

Forecasting Production Scenarios: Utilizing validated simulation models to forecast various
production scenarios, including the effects of implementing enhanced recovery techniques.

Decision Support: Providing insights and recommendations based on simulation results to guide
reservoir management strategies and capital investments.

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