Catalogue of Well Test Responses in a Fluvial Reservoir System
| Autor: | J. L. Walsh, Alain C. Gringarten |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Well test (oil and gas)
020209 energy Well test analysis 0202 electrical engineering electronic engineering information engineering Fluvial 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Geomorphology Geology 0105 earth and related environmental sciences Reservoir system |
| Zdroj: | All Days. |
| Popis: | Well test analysis has greatly improved over the years. It remains the most suitable source for determining the hydraulic connectivity and effective permeability in large reservoir volumes, and has become an important tool for reservoir characterization, especially with the recent development of complex interpretation models which account for detailed geological features.Well test analysis in fluvial reservoirs is still challenging, however, due to a depositional environment conducive to significant internal heterogeneity. Analytical models used in conventional analysis are limited to simplified channel geometries and therefore fail to capture key parameters such as sand body dimensions, orientations and connectivity which control fluid flow and pressure behaviour. This paper aims at a better understanding of the impact of channel content in complex fluvial channel systems on well test derivative responses. To achieve this, a catalogue of 870 drawdown type curves was generated (using a 3D numerical simulator) for different channel contents, body shapes, body dimensions and permeability contrasts.The paper also illustrates how geological reservoir parameters can be identified, using data from a fluvial North Sea reservoir. A workflow is described for matching field test data with the type curves generated in this study to obtain the fluvial channel characteristics. This then enables the geological description in a full field simulation model to be constrained to well test data, thus reducing uncertainty, aiding development decisions, and improving predictions of the final recovery. Because the match is non-unique, a large number of geological realizations is required, which can be reduced by a good geological understanding of the reservoir. |
| Databáze: | OpenAIRE |
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