公开(公告)号：US10324229B2

公开(公告)日：2019-06-18

申请号：US14919890

申请日：2015-10-22

Applicant: Chevron U.S.A. Inc.

Inventor： Paul Theologou ,  Mark Skalinski ,  Robert K. Mallan

IPC: G01V99/00 ,  G01N15/08 ,  G01N33/24

Abstract: Embodiments of a method of pore type classification for petrophysical rock typing are disclosed herein. In general, embodiments of the method utilize parameterization of MICP data and/or other petrophysical data for pore type classification. Furthermore, embodiments of the method involve extrapolating, predicting, or propagating the pore type classification to the well log domain. The methods described here are unique in that: they describe the process from sample selection through log-scale prediction; PTGs are defined independently of the original depositional geology; parameters which describe the whole MICP curve shape can be utilized; and objective clustering can be used to remove subjective decisions. In addition, the method exploits the link between MICP data and the petrophysical characteristics of rock samples to derive self-consistent predictions of PTG, porosity, permeability and water saturation.

公开(公告)号：US20190257977A1

公开(公告)日：2019-08-22

申请号：US16234057

申请日：2018-12-27

Applicant: Chevron U.S.A. Inc.

Inventor： Mark Skalinski ,  Rafael Salazar-Tio ,  Robert Mallan

IPC: G01V99/00 ,  G01V1/48 ,  G06F17/50 ,  E21B49/00 ,  E21B49/10

Abstract: Systems and methods for generating permeability scaling function for different features of interest are disclosed. Exemplary implementations may: obtain subsurface data sets; generate permeability scaling functions for individual features of interest; store the permeability scaling functions; and generate upscaled subsurface distributions using the permeability scaling functions.

公开(公告)号：US20160124115A1

公开(公告)日：2016-05-05

申请号：US14919890

申请日：2015-10-22

Applicant: Chevron U.S.A. Inc.

Inventor： Paul Theologou ,  Mark Skalinski ,  Robert K. Mallan

IPC: G01V99/00 ,  G01N15/08

CPC classification number: G01V99/005 ,  G01N15/0886 ,  G01N33/241 ,  G01N2015/0813 ,  G01N2223/649

Abstract: Embodiments of a method of pore type classification for petrophysical rock typing are disclosed herein. In general, embodiments of the method utilize parameterization of MICP data and/or other petrophysical data for pore type classification. Furthermore, embodiments of the method involve extrapolating, predicting, or propagating the pore type classification to the well log domain. The methods described here are unique in that: they describe the process from sample selection through log-scale prediction; PTGs are defined independently of the original depositional geology; parameters which describe the whole MICP curve shape can be utilized; and objective clustering can be used to remove subjective decisions. In addition, the method exploits the link between MICP data and the petrophysical characteristics of rock samples to derive self-consistent predictions of PTG, porosity, permeability and water saturation.

Abstract translation: 本文公开了用于岩石物理岩石分类的孔型分类方法的实施例。 通常，该方法的实施例利用MICP数据和/或其他用于孔类型分类的岩石物理数据的参数化。 此外，该方法的实施例涉及将孔类型分类外推​​，预测或传播到测井域。 这里描述的方法是独特的：它们描述了从样本选择到对数尺度预测的过程; PTG是独立于原始沉积地质学定义的; 可以利用描述整个MICP曲线形状的参数; 客观聚类可以用来消除主观判断。 此外，该方法利用了MICP数据与岩石样品的岩石物理特性之间的联系，得出了PTG，孔隙度，渗透率和水分饱和度的自相矛盾的预测。