近年來，我院岳大力教授團隊以儲層精細表征為目標,，在“地質(zhì)+地球物理+人工智能”多學(xué)科交叉領(lǐng)域取得了豐碩成果,。提出了相控地震正演方法、分頻屬性智能融合方法、降低圍巖干擾的地震屬性智能優(yōu)化方法,、地震智能反演方法,，形成了一套智能化地震解釋與儲層預(yù)測技術(shù)方法體系，儲層預(yù)測精度顯著提高,，為油氣田高效開發(fā)提供了理論指導(dǎo)與技術(shù)支撐,。
團隊的優(yōu)秀學(xué)科博士后李偉獲批2022年度博士后創(chuàng)新人才支持計劃，簡稱“博新計劃”,，合作導(dǎo)師為鮮本忠教授和吳勝和教授,。獲批基金題目為《少井條件下沉積過程與地震正演驅(qū)動的地震智能反演方法》。本項目旨在打破現(xiàn)有地震反演理念,，以深度學(xué)習(xí)為橋梁,，將沉積模式與地震解釋深度融合，攻克少井條件下地震智能反演的技術(shù)瓶頸,。該研究方法與技術(shù)理念先進,，對油氣田（尤其是海上大井距油氣田）儲層預(yù)測技術(shù)的發(fā)展方向具有重要引領(lǐng)與借鑒意義。
近3年代表性成果如下：
- Yue Dali, Li Wei, Wang, Wurong, et al., 2019. Fused spectral-decomposition seismic attributes and forward seismic modelling to predict sand bodies in meandering fluvial reservoirs. Marine and Petroleum Geology. 99, 27–44.
- Dali Yue, Wei Li, Wurong Wang et al., Analyzing the architecture of point bar of meandering fluvial river using ground penetration radar: A case study from Hulun Lake Depression, China, Interpretation. 2019, 7, T437-T454.
- Wei Li, Dali Yue, Wenfeng Wang, et al.; Fusing multiple frequency-decomposed seismic attributes with machine learning for thickness prediction and sedimentary facies interpretation in fluvial reservoirs, Journal of Petroleum Science and Engineering, 2019, 177: 1087-1102
- Wei Li, Dali Yue, Shenghe Wu, et al.; Characterizing meander belts and point bars in fluvial reservoirs by combining spectral decomposition and genetic inversion, Marine and Petroleum Geology, 2019, 105: 168-184
- Wei Li, Dali Yue, Luca Colombera, et al.; A novel method for estimating sandbody compaction in fluvial successions, Sedimentary Geology, 2020, 404: 1-13
- Wei Li, Dali Yue, Shenghe Wu, et al.; Thickness prediction for high-resolution stratigraphic interpretation by fusing seismic attributes of target and neighboring zones with an SVR algorithm, Marine and Petroleum Geology, 2020, 113: 1-14
- Wei Li, Dali Yue, Luca Colombera, et al.; Quantitative prediction of fluvial sandbodies by combining seismic attributes of neighboring zones, Journal of Petroleum Science and Engineering, 2021, 196: 1-11
- 岳大力,李偉,王軍,等.基于分頻融合地震屬性的曲流帶預(yù)測與點壩識別:以渤海灣盆地埕島油田館陶組為例[J].古地理學(xué)報,2018,20(06):941-950.
- 李偉,岳大力,杜玉山,等.地震屬性優(yōu)選與融合方法綜述——以河流相儲層為例[J/OL].地球科學(xué), 2022:1-19
- 王文楓,岳大力,趙繼勇, 等.利用地震正演模擬方法研究地層結(jié)構(gòu)——以鄂爾多斯盆地合水地區(qū)延長組三段為例[J].石油地球物理勘探,2020,55(02):411-418
- 岳大力, 李偉, 吳勝和, 范崢; 分頻地震屬性智能融合儲層預(yù)測軟件, 2019SR0236464, 原始取得,，全部權(quán)利, 2019,，(軟件著作權(quán))
- 岳大力, 李偉, 吳勝和, 范崢; 分頻遺傳反演儲層預(yù)測軟件, 2019SR0236455, 原始取得, 全部權(quán)利, 2019 (軟件著作權(quán))
- 岳大力, 段冬平, 龍濤, 等; 少井條件地質(zhì)模式約束的去圍巖地震屬性智能融合儲層預(yù)測軟件，2021SR1075611 1. 原始取得, 全部權(quán)利, 2021 (軟件著作權(quán))
