Отправлено: 28.06.07 01:55. Заголовок: Из МФТИ в Baker. Интересно, а по существу что-нибудь стоит?

Из МФТИ в Baker. Интересно, а по существу что за этим стоит?

A Pore-Level Approach to Petrophysical Interpretation of Well Logging Measurements

Mikhail Gladkikh
Scientist, Baker Atlas, Technology Development Group

DATE: Wednesday, November 8th, 2006
TIME: 12:00 AM (Cocktails at 11:30 am)
PLACE: FAIRMONT PALLISER HOTEL
133, 9th Ave. S.W. Calgary



Abstract:

An accurate description of water- or oil-bearing reservoirs and the assessment of reserves strongly depend on a robust determination of their petrophysical parameters, e.g., porosity, permeability and fluid distribution, reflecting fluid type, content, and mobility. Downhole measurements provide means to formation evaluation; however, they do not directly provide the petrophysical properties of interest. To interpret well logging data, a range of empirical models are usually employed. These empirical relationships, however, lack scientific basis and usually represent generalizations of the observed trends. To provide a link between a detailed description of the physical processes occurring at the pore scale and the macroscopic properties of sedimentary rocks, a new pore-level approach to petrophysical interpretation of logging measurements is suggested in this work.

A powerful means to create such a link is to develop quantitative relationships between the petrophysical properties and the geologic processes involved in forming the rocks. Here we describe the use of simple but physically representative models of the results of several rock-forming processes, e.g., sedimentation, cementation, and the formation of authigenic clay minerals. The key feature of these models is that they are geometrically determinate or precisely defined based on the knowledge of the location of every grain comprising the model rock and hence the morphology of the pore space at the grain scale. We outline a method for computing macroscopic petrophysical properties using the proposed rock models. Unlike many approaches to pore-level modeling, our approach introduces no adjustable parameters and thus can be used to produce
quantitative, a priori predictions of the rock macroscopic behavior.
These a priori predictions, in turn, allow for successfully inverting and interpreting logging data to obtain petrophysical parameters of sedimentary rocks, such as absolute and relative permeabilities as well as capillary pressure curves. For example, NMR (Nuclear Magnetic Resonance) logs contain information about grain size, allowing for an accurate petrophysical interpretation by means of the presented pore-level approach.

Biography:

Mikhail Gladkikh is working as a scientist with the Baker Atlas Technology Development Group in Houston. He has been working for the past year and a half with Baker on Petrophysics and Pore-scale modeling. His current interests are in the applications of pore-scale modeling to the petrophysical interpretation of formation evaluation data.
Prior to that he was doing research as well as teaching at the University of Texas at Austin which is where he obtained his doctorate in Computational and Applied Mathematics under the supervision of Dr. Steven Bryant. His undergraduate time was spent at the Moscow Institute of Physics and Technology where he obtained his B.S. as well as an M.S in Applied Mathematics and Physics.

He is the author of several papers had has presented most recently at the CSPG-CSEG-CWLS Joint Convention in Calgary last May.
http://cwls.org/luncheons/luncheon.php?id=9