Combination of well log and pore-scale data to predict petrophysical properties of diatomite

Date

2008-03-01

Author

Akın, Serhat
Kovscek, A. R.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

220
views

0
downloads

A fast and accurate method for distribution of multiphase flow functions across the productive interval of a reservoir volume is proposed. When coupled with artificial neural networks (ANN) to correlate pore-type data (pore size, shape, and roughness) with well log measurements, network modeling is useful to generate relative permeability and capillary pressure functions on the same spatial scale as log data. The technique combines measurements with inherently different length scales and is multiscale in this sense. A proof-of-concept exercise is reported using data from the Lost Hills field (Kern Co., CA, USA). Sensitivity of the predictions resulting from modem and "vintage" (late 1970's) logging suites is discussed as are the various quality control measures employed. It is observed that either gamma-ray or spontaneous-potential logs must be used for accuracy. A mapping of a pore-type attributes along a 10,000 ft south-north vertical transect reveals that the relative proportion of an individual pore type changes significantly within the field. Relative permeability and capillary pressure curves, as well as residual oil saturation, obtained from pore network runs agreed well with the range of published values. Nevertheless, significant variation within diatomite types is noted. A practical application of the method is to guide selection of reservoir zones with greater rock quality and/or remaining oil saturation when identifying candidate locations for infill drilling.

Subject Keywords

Pore network modeling, Artificial neural network, Relative permeability, Capillary pressure

URI

https://hdl.handle.net/11511/51831

Journal

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

DOI

https://doi.org/10.1016/j.petrol.2007.05.013

Collections

Department of Petroleum and Natural Gas Engineering, Article

Suggestions

OpenMETU
Core

Prediction of multiphase flow properties from nuclear magnetic resonance imaging Karaman, Türker; Akın, Serhat; Department of Petroleum and Natural Gas Engineering (2009) In this study a hybrid Pore Network (PN) model that simulates two-phase (water-oil) drainage and imbibition mechanisms is developed. The developed model produces Nuclear Magnetic Resonance (NMR) T2 relaxation times using correlations available in the literature. The developed PN was calibrated using experimental relative permeability data obtained for Berea Sandstone, Kuzey Marmara Limestone, Yeniköy Dolostone and Dolomitic Limestone core plugs. Pore network body and throat parameters were obtained from ser...
Determination of hydraulic parameters of semi-infinite aquifers using Marquardt algorithm Taşkan, Cüneyt; Önder, Halil; Department of Civil Engineering (2004) In this study, transmissivity and storage coefficient of a semi-infinite, confined, homogeneous and isotropic aquifer, where the flow is one-dimensional and linear, are determined using Marquardt algorithm, considering two independent cases: constant drawdown in the adjacent stream; or constant discharge from the aquifer due to pumping at a constant rate. In the first case piezometric head and discharge measurements are utilized. Hydraulic diffusivity, which is the ratio of transmissivity to storage coeffic...
Analysis of Evolving Deformation Microstructures in Instable Inelastic Solids Based on Energy Relaxation Methods Gürses, Ercan (null; 2004-08-21) An incremental variational formulation for the constitutive response of dissipative materialsis applied to the stability analysis of inelastic solids. The material stability is governed by weak convexity properties of an incremental stress potential obtained from a local minimization problem. As a result of instability deformation microstructures develop and are resolved by energy relaxation methods. We develop relaxation analyses in terms of rank–one convexifications and make comparisons of results obtaine...
A Numerical Simulation of non-uniform Magnetic Field Effect on Ferrofluid Flow in a Half-Annulus Enclosure with Sinusoidal Hot Wall Oglakkaya, F. S.; Bozkaya, Canan (2016-09-25) In this study, the problem of two-dimensional, laminar ferrofluid flow in a semi-annulus enclosure with sinusoidal hot wall is investigated numerically by using the dual reciprocity boundary element method. The flow is under the influence of a nodal magnetic source placed below the mid of the sinusoidal inner wall. The equations governing the present problem are obtained under the principles of ferrohydrodynamics and magnetohydrodynamics. The numerical computations are performed for various values of Raylei...
Modelling of continuous centrifugal gravity concentrators using a hybrid optimization approach based on gold metallurgical data Sakuhuni, Givemore; Altun, Naci Emre; Klein, Bern (2022-03-30) Conventional optimization procedures for Continuous Centrifugal Gravity Concentrators (CCGCs) impose a priori weighting on objectives and results in a single optimum point, thereby failing to exploit the competing grade/recovery relationship. To generate an optimum operating line rather than a conventional optimization approach, a non-dominated recovery/grade line has been developed using a novel multivariate optimization technique code. The goal is to simultaneously maximize both grade and recovery objecti...

Citation Formats

S. Akın and A. R. Kovscek, “Combination of well log and pore-scale data to predict petrophysical properties of diatomite,” JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, pp. 133–149, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51831.