Research and application of 3D attribute fusion technology based on lithology probability analysis
Abstract To address the challenges of seismic attribute selection and the low accuracy of characterizing single-phase river channels with a single seismic attribute, a 3D seismic attribute fusion technology based on lithology probability curve analysis has been developed. This method uses lithology...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-02883-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850268962858729472 |
|---|---|
| author | Shanyi Zhang Xueying Li Jinyu Lan Dejian Zhang Lin Cong Yaning Shi |
| author_facet | Shanyi Zhang Xueying Li Jinyu Lan Dejian Zhang Lin Cong Yaning Shi |
| author_sort | Shanyi Zhang |
| collection | DOAJ |
| description | Abstract To address the challenges of seismic attribute selection and the low accuracy of characterizing single-phase river channels with a single seismic attribute, a 3D seismic attribute fusion technology based on lithology probability curve analysis has been developed. This method uses lithology probability curve analysis to optimally select amplitude attributes that highlight the distribution characteristics of sedimentary sand bodies and coherence attributes that emphasize variations in sand body boundaries. These attributes are then fused to form a new attribute volume, effectively solving the issues of seismic attribute selection and the low precision of single attributes in characterizing river channels. The approach enables precise identification of single-phase river channels and improves the sand body prediction accuracy in the study area by 20.2% points. The results have been applied to guide the optimization of 112 well interventions, resulting in an accumulated oil increase of 10,861 tons. This demonstrates favorable outcomes and provides a geological foundation for the accurate exploitation of residual oil in high-water-cut late-stage reservoirs. |
| format | Article |
| id | doaj-art-1ecc487a90b5444f91b89ebeed9de4da |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-1ecc487a90b5444f91b89ebeed9de4da2025-08-20T01:53:18ZengNature PortfolioScientific Reports2045-23222025-05-0115111410.1038/s41598-025-02883-2Research and application of 3D attribute fusion technology based on lithology probability analysisShanyi Zhang0Xueying Li1Jinyu Lan2Dejian Zhang3Lin Cong4Yaning Shi5State Key Laboratory of Continental Shale Oil, Northeast Petroleum UniversityState Key Laboratory of Continental Shale Oil, Northeast Petroleum UniversityChina Petroleum Daqing Oilfield Company LimitedChina Petroleum Daqing Oilfield Company LimitedState Key Laboratory of Continental Shale Oil, Northeast Petroleum UniversityState Key Laboratory of Continental Shale Oil, Northeast Petroleum UniversityAbstract To address the challenges of seismic attribute selection and the low accuracy of characterizing single-phase river channels with a single seismic attribute, a 3D seismic attribute fusion technology based on lithology probability curve analysis has been developed. This method uses lithology probability curve analysis to optimally select amplitude attributes that highlight the distribution characteristics of sedimentary sand bodies and coherence attributes that emphasize variations in sand body boundaries. These attributes are then fused to form a new attribute volume, effectively solving the issues of seismic attribute selection and the low precision of single attributes in characterizing river channels. The approach enables precise identification of single-phase river channels and improves the sand body prediction accuracy in the study area by 20.2% points. The results have been applied to guide the optimization of 112 well interventions, resulting in an accumulated oil increase of 10,861 tons. This demonstrates favorable outcomes and provides a geological foundation for the accurate exploitation of residual oil in high-water-cut late-stage reservoirs.https://doi.org/10.1038/s41598-025-02883-2Attribute fusionAmplitude attributesCoherence attributesLithology probability analysisRiver channel sand bodies |
| spellingShingle | Shanyi Zhang Xueying Li Jinyu Lan Dejian Zhang Lin Cong Yaning Shi Research and application of 3D attribute fusion technology based on lithology probability analysis Scientific Reports Attribute fusion Amplitude attributes Coherence attributes Lithology probability analysis River channel sand bodies |
| title | Research and application of 3D attribute fusion technology based on lithology probability analysis |
| title_full | Research and application of 3D attribute fusion technology based on lithology probability analysis |
| title_fullStr | Research and application of 3D attribute fusion technology based on lithology probability analysis |
| title_full_unstemmed | Research and application of 3D attribute fusion technology based on lithology probability analysis |
| title_short | Research and application of 3D attribute fusion technology based on lithology probability analysis |
| title_sort | research and application of 3d attribute fusion technology based on lithology probability analysis |
| topic | Attribute fusion Amplitude attributes Coherence attributes Lithology probability analysis River channel sand bodies |
| url | https://doi.org/10.1038/s41598-025-02883-2 |
| work_keys_str_mv | AT shanyizhang researchandapplicationof3dattributefusiontechnologybasedonlithologyprobabilityanalysis AT xueyingli researchandapplicationof3dattributefusiontechnologybasedonlithologyprobabilityanalysis AT jinyulan researchandapplicationof3dattributefusiontechnologybasedonlithologyprobabilityanalysis AT dejianzhang researchandapplicationof3dattributefusiontechnologybasedonlithologyprobabilityanalysis AT lincong researchandapplicationof3dattributefusiontechnologybasedonlithologyprobabilityanalysis AT yaningshi researchandapplicationof3dattributefusiontechnologybasedonlithologyprobabilityanalysis |