New Integrated Approach for Diagenesis Characterization and Simulation

New Integrated Approach for Diagenesis Characterization and Simulation M.. Pontiggia; M.. Pontiggia Eni Search for other works by this author on: This Site Google Scholar A.. Ortenzi; A.. Ortenzi Eni Search for other works by this author on: This Site Google Scholar L.. Ruvo L.. Ruvo Eni Search for other works by this author on: This Site Google Scholar Paper presented at the North Africa Technical Conference and Exhibition, Cairo, Egypt, February 2010. Paper Number: SPE-127236-MS https://doi.org/10.2118/127236-MS Published: February 14 2010 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Pontiggia, M.. , Ortenzi, A.. , and L.. Ruvo. "New Integrated Approach for Diagenesis Characterization and Simulation." Paper presented at the North Africa Technical Conference and Exhibition, Cairo, Egypt, February 2010. doi: https://doi.org/10.2118/127236-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE North Africa Technical Conference and Exhibition Search Advanced Search Abstract The study of the diagenetic processes is a fundamental step to achieve a more accurate and reliable prediction of flow performance, as diagenesis alters the original relationships between depositional facies and petrophysical properties. Thence, a quantitative integration of all data and available analysis is a key-factor to obtain a realistic reservoir model.A new integrated approach for diagenesis characterization and simulation is here presented. An application case was performed on the silici-clastic Egyptian reservoir of Baltim starting from quantitative diagenetic data.Chlorite content, which is here strictly related to grain size, affects the overall reservoir permeability. Particularly, "pore filling" type chlorite is responsible for the flow performance deterioration.A relationship between diagenesis and log data was defined using density and spectral gamma ray (thorium) logs as predictors of pore-filling chlorite. A good relationship was also observed between grain size and the previously defined log-facies from multivariate statistical processing (cluster analysis), enabling us to assign a well defined depositional meaning to each of them.The right evaluation of the petrographic-diagenetic input represents an excellent "starting line" for the following phases.First, a traditional reservoir workflow (pre-diagenesis characterization) has been carried out testing different geostatistical facies simulations approaches (Sequential Indicator Simulation, Object Based Approach, Truncated Gaussian Simulation, Pluri Gaussian Simulation and Multiple Point Statistics). Then, a new methodological workflow for post-diagenesis reconstruction has been implemented, using a matrix that combines sedimentological information and diagenetic indicator at wells. Finally the petrophysical parameters have been simulated classically according to the characteristics of each post-diagenesis facies.The results, compared to well test permeability and analysed with the flow simulator, show a good to very good match with the measured data. The match quality is clearly dependent on the mutual consistency of the facies distribution and the conceptual sedimentological model conditioning diagenetic effects. Keywords: reservoir characterization, spe 127236, diagenesis, pore-filling chlorite, information, baltim east, history match, prediction, artificial intelligence, geostatistical approach Subjects: Reservoir Characterization Copyright 2010, Society of Petroleum Engineers You can access this article if you purchase or spend a download.