OBJECTIVES
- The primary objective is to describe and establish general methodologies for the static and dynamic characterization of reservoirs based on geological models and the integration of petrophysical data from cores, wells, seismic, and production. These methodologies include:
•Estimating geological and petrophysical variables that control hydrocarbon production.
•Quality control of the data.
•Procedures for constructing reservoir models subject to simulation and prediction of hydrocarbon production.
•Feasibility, confirmation, and sensitivity testing.
•Uncertainty analysis and added value of measurements.
CONTENTS
- Basic Concepts and Principles. Sedimentary environments, tectonic deformation, and diagenesis. Structural and stratigraphic traps for hydrocarbons. Impact on porosity and permeability.
- Basic Concepts of Petrophysics. Basic concepts for core analysis and thin sections. Principles of acquisition and interpretation of well logs. Use of formation testers for quantifying pore pressure, fluid gradients, and permeability. Detection and quantification of flow units. Winland and Pittman methods. Quantifying production quality of porous units. Lorenz method.
- Litho- and Chrono-stratigraphic Correlations. Well log correlations. Formation tops. Sequence and para-sequence models.
- Use of Post-stacked Seismic Data. Establishing litho- and chrono-stratigraphic correlations between wells.
- Locating water-hydrocarbon contacts and detecting vertical saturation gradients due to capillary pressure.
- Elastic and Petrophysical Properties of Rocks
- Elastic and Petrophysical Properties of Rocks. Use of pre- and post-stacked seismic data for quantifying spatial variations in lithology, porosity, layer thickness, and water saturation. Seismic inversion. Differences between seismic attributes and inversion data: advantages and disadvantages. Seismic and petrophysical feasibility analysis. Quality control of the seismic inversion process. Use of AVO seismic attributes for direct hydrocarbon detection.
- Advantages and disadvantages of pre-stacked seismic inversion relative to AVO attributes.
- Time-Depth Conversions. Construction of cell models of reservoirs limited spatially by faults and horizons interpreted in seismic data. Quality control.
- Geostatistical Methods. For constructing cell models of petrophysical properties of reservoirs.
- Geostatistical inversion to build reservoir cell models between wells that satisfy post- and pre-stacked seismic data. Uncertainty analysis and correspondence and sensitivity testing.
- Geostatistical inversion to build reservoir cell models between wells that satisfy post- and pre-stacked seismic data. Uncertainty analysis and correspondence and sensitivity testing. Input of Petrophysical Property Cubes into Reservoir Simulators. Design of production simulation grids. Numerical precision testing.
- Monitoring dynamic production conditions: pore pressure, water cut, etc.
- Systematic method for corroborating reservoir cell models, petrophysical properties, and fluid properties based on the prediction of cumulative production and pore pressure decline. Global uncertainty analysis and added value of additional measurements.
TARGET AUDIENCE: Geologists, geophysicists, petroleum engineers, and planning, exploration, and production managers.
METHODOLOGY: Theoretical and practical approach, including videos, printed documents, promoting debates, and individual and group exercises.
MODALITY: In-person.
DURATION: 40 hours.
File|Static and Dynamic Reservoir Characterization