Research on appropriate borehole density for establishing reliable geological model based on quantitative uncertainty analysis
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Geological structure is an important factor to explore the underground geological conditions for hydrogeological purpose. Borehole density has great influence on the accuracy and application of geological model. In this paper, Transition Probability Geostatistical Software (T-PROGS) has been used to simulate the four facies distribution of West Liao River Plain. And a quantitative uncertainty model of entropy method is introduced. For getting a reliable geological model with as few as the boreholes, two parts have been given. One is the vertical lithologic variability analysis, and the other is the model correct rate and uncertainty analysis. In geological modeling, the borehole data is too sparse to characterize the lateral heterogeneity, so the actual profiles are added. At last, many equal probability realizations of the geological model using 350 boreholes are built. Depending on the model calibration, uncertainty analysis and simulated profile comparison, the geological models are reliable. Thus, for the simple and single stratigraphy study area without complex fault structures and graben structures of several thousands to tens of thousands of square kilometer scale, establishing a reliable geological structure model requires one borehole at least within an average area of 120.81 km2. It is of great significance for decision maker to save manpower and material resources. And we present a workflow to build a 3D Markov chain using boreholes and actual profiles and develop a reliable geological model.
KeywordsT-PROGS Uncertainty Borehole density Markov chain Conditional simulation
The authors would like to express their thanks to Junhuan Xue at Inner Mongolia Autonomous Region, the Fourth Hydrogeologic and Engineering Geological Prospecting Institute, and Di Yu at Beijing Qingliu Technology Co., Ltd. for the assistance in the field survey. We are grateful to Yali Cui and Qiulan Zhang at China University of Geosciences (Beijing) for the comments on the manuscript.
This research was funded by National Key R&D Program of China (grand number 2017YFC0406106).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
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