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LAPSE:2023.1160

Research and Application of a Quantitative Prediction Method for Sandstone Thickness in a Zone with Dense Well Pattern Development Based on an Objective Function

Cao Li, Yongzhuo Wang, Yongbing Zhou, Xiaodong Fan, Jianfei Zhan, Guosong Chen, Zongbao Liu

February 21, 2023

Abstract
The seismic amplitude along a layer in a section can reveal lateral reservoir changes and is one of the important means of reservoir prediction, but it is often difficult to establish the quantitative relationship between the seismic amplitude and sandstone thickness in wells in blocks with denser development. The use of a lower-amplitude slice for precisely quantitatively predicting the sandstone thickness, based on the goal of obtaining data on layers in the development zone with a dense well pattern, is accurate and has a valuable advantage. The method of formation slice optimization based on an objective function is studied to improve the ability of reservoir characterization by seismic attributes. This method has been applied to the reservoir prediction of the G I2 sedimentary unit in the ZQX block of the SRT oilfield and has achieved good results.

Record ID

LAPSE:2023.1160

Keywords

quantitative prediction, sandstone thickness, stratal slice

Subject

Materials

Suggested Citation

Li C, Wang Y, Zhou Y, Fan X, Zhan J, Chen G, Liu Z. Research and Application of a Quantitative Prediction Method for Sandstone Thickness in a Zone with Dense Well Pattern Development Based on an Objective Function. (2023). LAPSE:2023.1160

Author Affiliations

Li C: School of Earth Science, Northeast Petroleum University, Daqing 163318, China; Research Institute of Exploration and Development, Daqing Oilfield Company Limited, PetroChina, Daqing 163712, China
Wang Y: Research Institute of Exploration and Development, Daqing Oilfield Company Limited, PetroChina, Daqing 163712, China
Zhou Y: Research Institute of Exploration and Development, Daqing Oilfield Company Limited, PetroChina, Daqing 163712, China
Fan X: Research Institute of Exploration and Development, Daqing Oilfield Company Limited, PetroChina, Daqing 163712, China
Zhan J: Research Institute of Exploration and Development, Daqing Oilfield Company Limited, PetroChina, Daqing 163712, China
Chen G: Research Institute of Exploration and Development, Daqing Oilfield Company Limited, PetroChina, Daqing 163712, China
Liu Z: Research Institute of Exploration and Development, Daqing Oilfield Company Limited, PetroChina, Daqing 163712, China

Journal Name

Processes

Volume

Issue

First Page

281

Year

2023

Publication Date

2023-01-15

DOI:

https://doi.org/10.3390/pr11010281