A Visualization and Analysis Method by Multi-Dimensional Crossplots from Multi-Well Heterogeneous Data

Maojun Cao, Zhiyong Gao, Ye Yuan, Zhao Yan and Yihong Zhang
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Maojun Cao: School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China
Zhiyong Gao: School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China
Ye Yuan: Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
Zhao Yan: School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China
Yihong Zhang: School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China

Energies, 2022, vol. 15, issue 7, 1-23

Abstract: Crossplot is an important tool for data visualization analysis in well logging processing and interpretation. Generally, the color of the points in the crossplot is calibrated by the data to improve the plane crossplot from two dimensions (2D) to three dimensions (3D). However, this method is limited to the logging data. In many cases, it is necessary to use crossplots for comprehensive evaluation with the well logging, geology, mud logging, and oil testing data, or to deeply analyze the data from multiple wells and multiple layers. The traditional crossplots cannot meet the demands. To expand the traditional crossplot to multiple dimensions, we proposed an augmented-dimensional visualization and analysis method by the crossplot with multi-well and multi-dimensional heterogeneous data, which is developed based on the traditional crossplots. Firstly, we built the match matrix of the augmented-dimensional heterogeneous data from different depths and set up the crossplots of the heterogeneous data after depth normalization. In this way, the attribute calibrations of the points in the crossplots by logging data were realized, and the auxiliary figures of the augmented-dimensional crossplots were established. In addition, the crossplots were expanded to more dimensions by collaborative analysis of the multiple crossplots and synchronous display in different single-well and multi-well modules with the feature points projection. Secondly, we established the display method of the crossplots from multi-well data by quadtree index. The display and interaction performance of the augmented-dimensional crossplots under the conditions of large amount of data from multiple wells were greatly improved by optimizing the overlapped and covered points in the crossplots. This method can provide more information about the reservoirs and realize the comprehensive well logging comparison, analysis, and visualization from different views. It has been developed and integrated into a CIFLog software platform and has been widely used in many domestic oilfields.

Keywords: CIFLog; crossplot; multi-well; heterogeneous data; augmented-dimensional depth match matrix; quadtree (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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