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ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
HISTORY MATCHING OF PRESSURE OR TEMPERATURE DATA USING ES-MDA FOR RESERVOIR CHARACTERIZATION
Submission Author:
Vinicius Mattoso Reis Da Silva , RJ
Co-Authors:
Vinicius Mattoso Reis Da Silva, Danmer Maza, Marcio CARVALHO
Presenter: Vinicius Mattoso Reis Da Silva
doi://10.26678/ABCM.ENCIT2020.CIT20-0246
Abstract
Well tests are commonly used to characterize reservoir parameters and estimate oil field performance. These tests typically consist of measuring and interpreting the pressure response at the well to a given change in production or injection conditions. However, in high transmissibility reservoir, using only pressure data can lead to misinterpretations due to thermal effects and consequently to large errors in the estimation of reservoir properties. In the last decades there has been an increase in the use of permanent sensors installed along the wells, which provides a large amount of pressure and temperature data. The use of these sensors, as well as advanced data analysis techniques, has considerably increased the quality of the estimates, contributing to the reduction of uncertainties in the process and to a better production planning in the field. In order to infer reservoir properties by using pressure and temperature transient data obtained from well tests we arrived into the classical inverse problem, in which among several existing methods the Ensemble-based method is being successfully applied. Specifically, the ensemble smoother with multiple data assimilation (ES-MDA) seems to be a good candidate because it provides a better data match and a better quantification of uncertainty than other methods. In this work, synthetic case was created by using an in-house flow simulator that solves the complete coupled system of equations that represent the wellbore/reservoir system. Joule-Thomson heating and cooling, adiabatic fluid expansion/compression, conduction and convection effects are considered in the thermal energy balance equation. Results show how the ES-MDA method applied to temperature transient data provides better uncertainty quantification comparatively to pressure data alone to estimate the reservoir properties.
Keywords
Inverse problem, ES-MDA, non-isothermal, Wellbore test, Reservoir Characterization
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