PUKYONG

Analysis of 3-D Ground-Penetrating Radar (GPR) Data for Reservoir Characterization of Rudist Mounds, Central Texas

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Alternative Title
중부 텍사스지역에서 3-D GPR 데이터분석을 통한 루디스트 마운드 저류층의 특성 연구
Abstract
We analyzed 3-D ground-penetrating radar (GPR) data from the Lower Cretaceous shallow carbonate environment in Lake Georgetown, Williamson County, Central Texas to characterize the rudist mounds that form an important hydrocarbon reservoir in the area. The GPR survey covers a volume with a surface area of 82 ? 93 m and depth of about 17 m. The data set consists of 83 inlines and 94 crosslines with a line spacing of 1 m. Data processing included velocity analysis, based on six CDP gathers, and poststack Kirchhoff time migration. The cores from the engineering well drilled by the United States Army Corps of Engineers from the study area are dominated by carbonates with a wide range of porosity and density. We identified five rudist mounds, characterized by strong top reflections with high radar coherency. The rudist mounds are 5 ? 20 m wide and 1 ? 3.5 m high, comparable to those exposed in outcrops in the area. The inversion using the pseudo log, constructed from the porosity and density descriptions in the core report, shows that the porosity decreases toward the crestal part of the rudist mounds, suggesting decreased dolomitization.
Author(s)
임헌학
Issued Date
2010
Awarded Date
2010. 8
Type
Dissertation
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/10286
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001956056
Alternative Author(s)
Lim, Heon Hak
Affiliation
부경대학교
Department
대학원 에너지자원공학과
Advisor
이광훈
Table Of Contents
1. INTRODUCTION 1
2. GEOLOGICAL SETTING 4
3. DATA AND METHODS 9
4. GPR DATA REPROCESSING 11
5. GPR DATA ANALYSIS 14
5.1. CORE ANALYSIS 14
5.2. RUDIST MOUNDS AND SURFACES ANALYSIS 16
5.2.1. GPR SURFACES 16
5.2.2. FAULTS AND FRACTURE ANALYSIS 24
5.2.3. DEPTH STRUCTURE MAP 25
5.2.4. GPR DATA ATTRIBUTE ANALYSIS 27
5.2.4.1. INSTANTANEOUS AMPLITUDE 28
5.2.4.2. COHERENCY 28
5.3. POROSITY PREDICTION 30
5.3.1. POROSITY INVERSION 32
5.4. DISCUSSION 34
6. SUMMARY AND CONCLUSIONS 36
7. REFERENCES 37
Degree
Master
Appears in Collections:
산업대학원 > 에너지자원공학과
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