Noticia Turgay Ertekin

El mes de marzo daremos inicio al ciclo de conferencias de este semestre, en la apertura contaremos con la presencia de Turgay Ertekin, PhD. Jefe del Departamento de Energía e Ingeniería Mineral de la Universidad Estatal de Pensilvania. El profesor Turgay es el autor del libro usado en la clase de Simulación de Yacimientos.

10 de Marzo del 2017 - 4:30 pm.

SD 1003

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Oil reservoirs need to be characterized for effective field development purposes. Typically, available field data in reservoir characterization stage may include seismic surveys, well logs, core data and limited field production history. One of the challenges for reservoir engineers is to integrate various types of data collected in different scopes to characterize reservoirs and propose optimized development strategies. Numerical reservoir simulation is one of the most broadly implemented approaches to quantitatively evaluate a field development plan. However, establishing a decent reservoir simulation model requires rigorous conversions from the raw field data to structural maps and spatial petrophysical property distributions as input parameters. A sound history matching protocol may need to be carried to tune the property distributions to match numerical model predictions to field histories. The conventional reservoir characterization and field development workflow could be time and labor intensive. This seminar summarizes the development and application of artificial-neural-network based expert systems which effectively correlate seismic data, well log data and field production history. The expert system described here is capable of generating artificial well logs at selected locations. Moreover, high resolution production potential surface maps can be established to find out prolific areas for infill drilling purposes. Predictions from the expert system do not need to be tuned by history matching since the field histories are included in the training and testing stages of the development. Comparing against the conventional reservoir characterization and field development optimization protocol, the developed expert systems can provide extremely fast predictions for desired engineering design and analysis purposes.

Turgay Ertekin is a Professor of Petroleum and Natural Gas Engineering and Head of the John and Willie Leone Family Department of Energy and Mineral Engineering at the Pennsylvania State University. He is also the holder of the George E. Trimble Chair in Earth and Mineral Sciences. Ertekin’s main research area is mathematical modeling of fluid flow dynamics in porous media and implementation of artificial intelligence technology to various reservoir engineering process analyses. Turgay Ertekinis a recipient of several Society of Petroleum Engineers (SPE) international awards and more recently he has received the SPE Honorary Membership award.At Penn State, Dr. Ertekin received College of Earth and Mineral Sciences’ Teaching, Research and Service awards and also University’s Graduate Teaching Award. Ertekinfor a two-year period served as the executive editor of SPE Formation Evaluation Journal and currently is serving as an editor-in-chief for the Journal of Petroleum Exploration and Production Technology.