Research on detecting and modifying method of deviation between drilling data and geological planar data in stratigraphic modeling
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Research on detecting and modifying method of deviation between drilling data and geological planar data in stratigraphic modeling
Vol. 32, Issue 9, (2011)
作者机构:
中国石油大学(华东)地球科学与技术学院,山东,青岛,266555
作者简介:
基金信息:
DOI:
CLC:TD262.6
Online First:13 September 2011,
Published:2011
稿件说明:
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AN Cong-rong, LIU Zhan, LI Man. Research on detecting and modifying method of deviation between drilling data and geological planar data in stratigraphic modeling[J]. 2011, 32(9).
DOI:
AN Cong-rong, LIU Zhan, LI Man. Research on detecting and modifying method of deviation between drilling data and geological planar data in stratigraphic modeling[J]. 2011, 32(9).DOI:
Research on detecting and modifying method of deviation between drilling data and geological planar data in stratigraphic modeling
The accuracy of three-dimensional stratigraphic models can affect their applications directly. It is an important strategy to use the multiple data coupled modeling to improve the accuracy of the model. Based on analyzing the factors influencing the accuracy of the three-dimensional stratigraphic model and taking geological planar data and drilling data as examples
this paper presents exploratory analysis methods used to automatically detect the deviation between the different types of data; and corrected method which mainly adopts GIS analysis of space exploration and drilling domain influence technology is supplied. The basic idea is described as follows. Firstly
to extract drilling data and geological planar data of a formation interface
and combine them to establish a Voronoi map. Secondly
to detect the deviation of drilling data relative to the geological data by the entropy or clustering attributes of each unit assigned to Voronoi map
and extract the drilling with the largest deviation accordingly. Finally
to modify locally the geological planar data by using drilling influence domain technique. The test results indicate that this method enables to realize the consistent process of data of multiple stratigraphic coupled modeling with high efficiency and relatively reliable result.