Reservoir History Matching using a Geostatistical Methodology: the influence of dynamic response parameters

Ana Maria Porto Oliveira de Aguiar¹; Ramiro Brito Willmersdorf¹

¹ Universidade Federal de Pernambuco

doi:10.20906/CPS/CILAMCE2017-0781

Resumo

A proper characterization of a reservoir model requests a complete study not only of the petrophysical parameters (static model) but also the properties related to the fluid flow (dynamic model). In this way, History Matching techniques are commonly applied for integrating both data. History Matching uses Inverse Theory in order to determine the petrophysical model that generates the observed dynamic response. This paper proposes a study of the use of different observed dynamic parameters in a geostatistical history matching methodology. The methodology is based on Direct Sequential Simulation and Co-Simulation for generating stochastic realizations of the static model. Direct Sequential Simulation and Co-Simulation have the advantage of using continuous variables without any transformation and they are also capable of reproducing the variogram and histogram of sample data in the simulations. After that, an objective function is calculated for each realization to identify which one better fits dynamic data. In this work, a comparison between the results using different dynamic parameters in the objective function is presented.

Palavras-chave: Geostatistics; History matching; Reservoir characterization; Direct sequential simulation and cosimulation; Stochastic simulation