Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1306/04251817103 |
Evaluation of a workflow to derive terrestrial light detection and ranging fracture statistics of a tight gas sandstone reservoir analog | |
wuestefeld, Patrick1,2; de Medeiros, Maite3; Koehrer, Bastian4; Sibbing, Dominik5; Kobbelt, Leif5; Hilgers, Christoph2,6 | |
2018-11-01 | |
发表期刊 | AAPG BULLETIN
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ISSN | 0149-1423 |
EISSN | 1558-9153 |
出版年 | 2018 |
卷号 | 102期号:11页码:2355-2387 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; Netherlands; Norway |
英文摘要 | Understanding natural fracture networks in the subsurface is highly challenging, as direct one-dimensional borehole data are unable to reflect their spatial complexity, and three-dimensional seismic data are limited in spatial resolution to resolve individual meter-scale fractures. Here, we present a prototype workflow for automated fracture detection along horizontal scan lines using terrestrial light detection and ranging (t-LIDAR). Data are derived from a kilometer-scale Pennsylvanian (locally upper Carboniferous) reservoir outcrop analog in the Lower Saxony Basin, northwestern Germany. The workflow allows the t-LIDAR data to be integrated into conventional reservoir-modeling software for characterizing natural fracture networks with regard to orientation and spatial distribution. The analysis outlines the lateral reorientation of fractures from a west-southwest/east-northeast strike, near a normal fault with approximately 600 m (similar to 1970 ft ) displacement, toward an east-west strike away from the fault. Fracture corridors, 10-20 m (33-66 ft) wide, are present in unfaulted rocks with an average fracture density of 3.4-3.9 m(-1) (11.2-12.8 ft(-1)). A reservoir-scale digital outcrop model was constructed as a basis for data integration. The fracture detection and analysis serve as input for a stochastically modeled discrete fracture network, demonstrating the transferability of the derived data into standard hydrocarbon exploration-and-production-industry approaches. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000450170900009 |
WOS关键词 | LOWER SAXONY BASIN ; DIGITAL OUTCROP MODELS ; WILLIAMS-FORK FORMATION ; IN-SITU STRESS ; CENTRAL-EUROPE ; FLUID-FLOW ; GERMAN BASIN ; ARCHITECTURAL ELEMENTS ; GEOLOGICAL SURFACES ; NATURAL FRACTURES |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/24490 |
专题 | 地球科学 |
作者单位 | 1.Rhein Westfal TH Aachen, Reservoir Petrol Energy & Mineral Resources Grp E, Wullner Str 2, D-52062 Aachen, Germany; 2.KIT, TTE Reservoir Geol, Campus Transfer GmbH,Kaiserstr 12, D-76131 Karlsruhe, Germany; 3.Wintershall Noordzee BV, Chalk Assets, Bogaardpl 47, NL-2284 DP Rijswijk, Netherlands; 4.Wintershall Norge AS, Dev Dept, Laberget 28, N-4020 Stavanger, Norway; 5.Rhein Westfal TH Aachen, Comp Graph & Multimedia Grp, Ahornstr 55, D-52074 Aachen, Germany; 6.KIT, Inst Appl Geosci Struct Geol & Tecton, Adenauerring 20a, D-76131 Karlsruhe, Germany |
推荐引用方式 GB/T 7714 | wuestefeld, Patrick,de Medeiros, Maite,Koehrer, Bastian,et al. Evaluation of a workflow to derive terrestrial light detection and ranging fracture statistics of a tight gas sandstone reservoir analog[J]. AAPG BULLETIN,2018,102(11):2355-2387. |
APA | wuestefeld, Patrick,de Medeiros, Maite,Koehrer, Bastian,Sibbing, Dominik,Kobbelt, Leif,&Hilgers, Christoph.(2018).Evaluation of a workflow to derive terrestrial light detection and ranging fracture statistics of a tight gas sandstone reservoir analog.AAPG BULLETIN,102(11),2355-2387. |
MLA | wuestefeld, Patrick,et al."Evaluation of a workflow to derive terrestrial light detection and ranging fracture statistics of a tight gas sandstone reservoir analog".AAPG BULLETIN 102.11(2018):2355-2387. |
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