The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 05, 2020
Filed:
May. 25, 2018
Petrochina Company Limited, Beijing, CN;
Ning Li, Beijing, CN;
Hongliang Wu, Beijing, CN;
Zhou Feng, Beijing, CN;
Qingfu Feng, Beijing, CN;
Kewen Wang, Beijing, CN;
Xiaotao Zhang, Beijing, CN;
Gong Zhang, Beijing, CN;
PETROCHINA COMPANY LIMITED, Beijing, CN;
Abstract
The present invention relates to the technical field of well logging interpretation. The present invention provides a method for determining the karst development degree of a reservoir, a computer readable storage medium and a device, and pertains to the technical field of well logging interpretation, the method comprising: extracting vertical denudation pore features and horizontal denudation pore features from electrical imaging logging image data of a undetermined reservoir, and counting well logging feature parameters; determining karst belts of the undetermined reservoir and classifying the karst development degree according to the vertical denudation pore features, the horizontal denudation pore features and the well logging feature parameters; and determining the available reservoir development degree of the undetermined reservoir according to the karst belts and the result of the classified karst development degree. By means of classifying the karst development degree of the undetermined reservoir based on the vertical denudation pore features, the horizontal denudation pore features and the well logging feature parameters extracted from the electrical imaging logging image data, we can quickly and visually identify karst belts in a reservoir and classify the karst development degree. And the discrimination result is consistent with that of cores, which provides important technical supports for exploration and development of an oil-gas field.