A method for quickly performing comprehensive sweet spot identification based on a cuttings sample
By using scanning electron microscopy imaging and simulation on rock cuttings samples, the reservoir properties and rock mechanical parameters of oil and gas reservoirs can be quickly identified, solving the problems of low accuracy, long time and high cost in existing technologies, and achieving efficient sweet spot identification.
CN117783182BActive Publication Date: 2026-07-03PETROCHINA CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- PETROCHINA CO LTD
- Filing Date
- 2022-09-20
- Publication Date
- 2026-07-03
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Figure CN117783182B_ABST
Abstract
This invention pertains to oil and gas reservoir evaluation, specifically disclosing a method for rapid comprehensive sweet spot identification based on rock cuttings samples. The method includes the following steps: collecting rock cuttings samples; preprocessing the rock cuttings samples; preparing rock cuttings thin sections; scanning the rock cuttings thin sections using a mineral quantitative analysis instrument to obtain mineral composition and distribution structure maps; analyzing and calculating reservoir performance parameters to determine the location of geological sweet spots; simulating and calculating rock mechanical parameters to determine the location of engineering sweet spots; and comprehensive sweet spot identification. This invention provides a method for rapid comprehensive sweet spot identification based on rock cuttings samples. By directly performing scanning electron microscopy imaging and simulation on rock cuttings samples obtained in the field, and determining the mineral composition and distribution structure of the samples, it can quickly and accurately obtain reservoir performance and rock mechanical parameters, thereby identifying geological and engineering sweet spots in complex or tight reservoirs. This saves on-site decision-making time, significantly reduces decision-making costs, and improves economic efficiency.
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