石油地球物理勘探2024，Vol.59Issue(3)：629-639,11.DOI:10.13810/j.cnki.issn.1000-7210.2024.03.026
基于模糊C均值聚类的空—地—井垂直重力梯度数据反演方法
Inversion of airborne-ground-borehole vertical gravity gradient data based on fuzzy C-means clustering
摘要
Abstract
Three-dimensional inversion of gravity gradient data can obtain a subsurface density structure model,which can be used for geological resource exploration and other fields.Gravity gradient data from airborne,ground,and borehole observations contain information at different frequencies.Joint inversion of these data can reduce the non-uniqueness of inversion and improve imaging resolution.However,for underground anomalous bodies with complex morphology,the vertical resolution of current joint inversion of multi-scale data,especially the imaging resolution of the anomalous body bottom still needs improvement.To address this issue,the joint in-version of airborne-ground-borehole vertical gravity gradient data was studied in this paper.Firstly,a fuzzy C-means clustering algorithm was introduced into the regularization inversion,and the clustering constraint was added during the iteration process to reduce non-uniqueness.Secondly,a joint inversion method was proposed by combining airborne,ground,and borehole vertical gravity gradient data,and GPU acceleration was utilized for computation.Thirdly,the inversion was applied to theoretical model data and gravity gradient data from the Vinton Dome,USA,so as to verify the effectiveness of the method and discuss the influence of borehole loca-tions on the results.Finally,the performance of GPU acceleration-based parallel inversion was analyzed.The data test demonstrates that the fuzzy C-means clustering can reduce the non-uniqueness of inversion,and the joint inversion can obtain accurate density distributions with certain anti-noise ability.Using the data from anomaly-side and anomaly-through boreholes can improve imaging resolution.The computed density distribu-tion of the Vinton Dome area is close to the conclusions of other researchers,demonstrating the effective-ness and feasibility of the proposed method.The test results also show that the GPU parallel method has a high acceleration ratio,and the proposed method can provide technical support for geological explorations and other studies.关键词
空—地—井垂直重力梯度/密度反演/模糊C均值聚类/文顿盐丘/GPU加速Key words
airborne-ground-borehole vertical gravity gradient/density inversion/fuzzy C-means clustering/Vin-ton Dome/GPU acceleration分类
天文与地球科学引用本文复制引用
张显,侯振隆,赵福权,秦朋波,赵信阳,王家辉..基于模糊C均值聚类的空—地—井垂直重力梯度数据反演方法[J].石油地球物理勘探,2024,59(3):629-639,11.基金项目
本项研究受国家自然科学基金项目"大规模全张量重力梯度数据源体生长快速三维反演方法研究"(42204140)和"重力和重力梯度联合精细化三维密度模型构建方法研究"(42104136)、广州市基础与应用基础项目"基于重力和重力梯度数据的先验信息的提取及其在正则化反演中的应用"(202201011216)及中国地质调查项目"南海中北部重点海域精细测量"(DD20230405)和"海洋地质精细测量"(DD20230070)联合资助. （42204140）
