Method and system for predicting plane distribution of different reservoirs
A plane distribution and reservoir technology, applied in the field of geophysical exploration, can solve the problem of inability to accurately predict and distinguish different types of reservoirs, reservoirs and non-reservoirs, etc., achieve accurate and reliable prediction and distinction results, and use less materials , the effect of structural stability
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0048] Example 1
[0049] Such as figure 1 As shown, a method of predicting a flat distribution of different reservoirs, including the following steps:
[0050] S1, using seismic data for extraction and inversion of reservoirs, obtaining a plurality of seismic attribute data body, and is preferably used to normalize the seismic attribute data body, and normalize the plurality of preferred seismic attribute data. Processing, obtaining a normalized seismic attribute data body;
[0051] S2, after the normalized seismic attribute data body extracts the attribute value corresponding to the different reservoirs on the well point, the well reservoir measuring board is established, and the shape boundary of different reservoirs is determined on the reservoir module. The reservoir type on the well is calculated to obtain a waveform similarity coefficient of the target layer on the relevant seismic attribute data body to obtain similarity data of different reservoir types;
[0052] S3, afte...
Example Embodiment
[0111] Example 2
[0112] Such as figure 1 As shown, a system that predicts different reservoir plane distribution, including the following modules:
[0113] Normalization Module: Used to use seismic data to extract and inverse the reservoir type of reservoir, obtain multiple seismic attribute data body, and preferably for seismic attribute data body, for multiple preferred seismic attribute data Normalization treatment separately, resulting in a normalized seismic attribute data;
[0114] Similarity Coefficient Generation Module: After the attribute value corresponding to the different reservoirs on the normal seismic attribute data body extracting the different reservoirs, different reservoirs are determined on the reservoir module. The shape boundary is calculated according to the reservoir type on the well on the associated seismic attribute data, and the similarity coefficient data of different reservoir type types is obtained.
[0115] Planning generation module: After using...
Example Embodiment
[0118] Example 3
[0119] Such as figure 1 As shown, the working step is made, and the present embodiment is a predictive work of deep shale gas reservoirs in Hai Xi Long Maxi Group in a rock gas exploration area in Sichuan.
[0120] Extract three types of attribute data related to porosity, crack, reservoir production capacity, according to the actual situation, expert experience and relatively mature geophysical technology according to the time and computer calculation ability of the project, using three-dimensional overhead sets and After the overlay seismic data, the porosity data body, P-wave anisotropic data body, Poisson-than Digital body, represents three types of porosity, cracks, and reservoir production capacity associated with it respectively. Using the three-dimensional lamination seismic data and the logging data of each well, the calibration of the segment of the zone and its related top, the interpretation of the bottom, and the interpretation of the underlying pos...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap