Course description

Objective Training is aimed to provide a basic understanding on the well test process and data interpretation. Main objective is to prepare the participant with the required knowledge to understand the value involved in testing the well, and how to interpret the acquired pressure and production data.

Audience

Reservoir engineers, production engineers, and field personnel involved in the design and interpretation of well tests.

Prerequisites

Course content

•    Well testing: why, how and when is well testing needed. Well pressure and rate monitoring for oil or gas reservoirs
•    Type of tests according to well completion and reservoir evaluation objectives: open hole and cased hole testing. DST (drill stem testing) limit, build-up, interference, injectivity, and fall off tests.
•    Pressure and rate data acquisition:  risks and benefits. Fluid sampling
•    Introduction to pressure transient analysis. 
•    Introduction to analytical and reservoir simulation methods.  
•    Testing according to evaluation objectives. Oil, gas, and gas-condensate reservoirs. Vertical and horizontal wells.  Available reservoir models and data analysis methods
•    Field testing procedures and related testing equipment aimed to achieve evaluation objectives. Data quality control and contingencies plan 
•    Well test design: test duration and sequence of events. Homogeneous and heterogeneous reservoirs. Field cases of applications
•    Principles of fluid flow in a porous media. Solutions to the diffusivity equation
•    Pressure transient analysis methodology. Deconvolution method
•    Integration of derived reservoir models and results from well test analysis to geology, geophysical, material balance and volumetric methods
•    ISOIP and ISGIP calculation of the drainage area associated to the well under testing. Field cases of application
•    Introduction to commercial Software for pressure transient analysis. Basic and advanced analysis functions. Reservoir, well, and fluid existent models. 2D map and guided analysis example. cases of application
•    Numerical simulation. Voronoi model. Application of 2D maps showing geological features and wells locations. Comparison of numerical versus analytical solution.  Numerical simulation example
•    cases of application

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