Drill section algorithm based on auto-matching of stratigraphic distribution pattern
LI Xiao-Juan1, 3, HE Yu-Feng2, WANG Gui-Chun2, XU Li-Peng2, CHEN Ye2
1.School of Geographic and Oceanographic Science,Nanjing University,Nanjing 210046,China; 2.Geological Exploration Technology Institute of Jiangsu Province,Nanjing 210046,China; 3.Collaborative Innovation Center of South China Sea Studies,Nanjing 210093,China
Abstract:Traditional sectional view algorithm lacks accurate processing capability for such phenomena as pinch off, absence, and lenses of strata. The accuracy of the algorithm can hardly meet production requirements. To solve these problems, this paper proposes an auto-matching algorithm for building geological sectional view by stratigraphic distribution pattern. First, the project drilling data structure is built; then, based on the distribution of strata, the patterns of strata are defined and the section line growth policies and rules of each model are deduced. From left to right, from top to bottom, the sequence stratum pattern matching method is used; according to the problem as to which section line the stratum point belongs to is determined; finally, the section line sets of points are connected into the line, thus finishing map annotation and map decoration. The algorithm overcomes the problem of poor continuity existent in the traditional drilling adjacent connection method caused by the lack of consistency disadvantage. Stratum pattern auto-matching method achieves automatic section line growth and can wipe out stratum pinch off, stratum absence, stratum lens phenomenon accurately. Experiments show that the geological profile constructed algorithm can accurately and efficiently reflect the stratigraphic structure of the study area, and hence it is widely used in engineering production.
李晓娟, 何育枫, 王桂春, 徐礼鹏, 陈晔. 地层分布模型自匹配的剖面图动态生成算法[J]. 物探与化探, 2017, 41(5): 939-945.
LI Xiao-Juan, HE Yu-Feng, WANG Gui-Chun, XU Li-Peng, CHEN Ye. Drill section algorithm based on auto-matching of stratigraphic distribution pattern. Geophysical and Geochemical Exploration, 2017, 41(5): 939-945.