Multivariate fracture intensity prediction: Application to Oil Mountain anticline, Wyoming

McLennan, Jason; Allwardt, Patricia F.; Hennings, Peter; Farrell, Helen E.

doi:10.1306/07220909081

Cited by 24 publications

(7 citation statements)

References 27 publications

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“…The shear fractures are laterally extensive, widely distributed, with smooth and straight surfaces. By applying statistical joint analysis techniques to these conjugate shear fractures, inferences about the regional stress field can be obtained (Federico, Crispini, & Capponi, 2010; McLennan, Allwardt, Hennings, & Farrell, 2009; Naimi‐Ghassabian, Khatib, Nazari, & Heyhat, 2015; Negrete‐Aranda et al, 2010). In general, the direction of the bisector of the conjugate shear fractures represents the orientation of the maximum horizontal principal stress (σ 1 ).…”

Section: Discussionmentioning

confidence: 99%

Characteristics and formation mechanism of the fractures in Archaean buried hill: A case study in the BZ19‐6 Block, Bohai Bay Basin, China

Dai

Tang

Li³

et al. 2020

Geological Journal

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While Archean buried hill fractured reservoirs have been found for the first time in the BZ19‐6 Block of the Bozhong Sag in the Bohai Bay Basin, the mechanisms driving their creation and evolution are not well known for low degree of exploration. Using core data, image logs, and our knowledge of the regional geology, we characterized the features and explored the formation mechanisms of these fractures. Our core samples captured two types of fractures: high‐angle shear fractures and low‐ to moderate‐angle tensile fractures. Based on the cross‐cutting relationships, four distinct sets of fractures formed at different stages and related to different tectonic events. The first fracture set (Set I) is high‐angle shear fractures having an E‐W orientation, partially filled by calcite, and was formed by transpressive processes in the Early Yanshanian. The second fracture set (Set II) is characterized by moderate angles, partially filled by asphalt and calcite with variable orientations and a more mesh‐like appearance, formed in an extensional environment in the middle Yanshanian. During transpressive activities in the Late Yanshanian, the high‐angle shear fractures of the third fracture set (Set III) formed with NW‐SE orientations and partially filled by asphalt. The fourth fracture set (Set IV), which occurred in the Early Himalayan, involves high‐angle shear fractures that is oriented in the NE‐SW direction and only part of them are filled by clay minerals. Macroscopic fracture features, orientations, and distribution patterns can significantly alter the nature of a reservoir; the fractures in Set I (E‐W‐oriented) and III (NW‐SE‐oriented) are typically the widest (excluded fills), and they tend to have the greatest impact on the overall reservoir permeability.

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Section: Discussionmentioning

confidence: 99%

Characteristics and formation mechanism of the fractures in Archaean buried hill: A case study in the BZ19‐6 Block, Bohai Bay Basin, China

Dai

Tang

Li³

et al. 2020

Geological Journal

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“…For example, texture features might be useful for image analysis and classification. Other potential features may be derived from graph fracture theories, which are usually used in material analysis, e.g., stone, timber, metal, mountain [3,9,[30][31][32]. A more rational way is to combine image features (e.g., color, shape, texture) and graph features (e.g., fracture) for our rock structure recognition.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

FMI image based rock structure classification using classifier combination

Yin

Liu

Hao

et al. 2010

Neural Comput & Applic

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Formation Micro Imager (FMI) can directly reflect changes of wall stratums and rock structures, and is an important factor to classify stratums and identify lithology for the oil and gas exploration. Conventionally, people analyze FMI images mainly with manual processing, which is, however, extremely inefficient and incurs a heavy workload for experts. In this paper, we propose an automatic rock structure classification system using image processing and pattern recognition technologies. We investigate the characteristics of rock structures in FMI images carefully. We also develop an effective classification framework with classifier combination that can integrate the domain knowledge from experienced geologists successfully. Our classification system includes three main steps. First, various effective features, specially designed for FMI images, are calculated and selected. Then, the corresponding single classifier associated with each feature is constructed. Finally, all these classifiers are combined as an effective cascade recognition system. We test our rock structure classification system with real FMI rock images. In experiments, with only one training sample per class, the average recognition accuracy of our proposed system is 81.11%. The accuracy is 15.55 percent higher than the traditional 1-nearest neighborhood method. Moreover, this automatic system can significantly reduce the complexity and difficulty in the rock structure analysis task for the oil and gas exploration.

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“…However, how to effectively predict fractures is still a worldwide challenge. Three-dimensional (3D) characterization and modeling of subsurface tectonic fractures in deep tight gas reservoirs with complex tectonism and diagenesis presents more difficulty [ 14 ], [ 15 ], [ 16 ], [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs

Jin

Jun-sheng

et al. 2018

PLoS ONE

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It is generally difficult to predict fractures of low-permeability reservoirs under high confining pressures by data statistical method and simplified strain energy density method. In order to establish a series of geomechanical models for the prediction of multi-scale fractures in brittle tight sandstones, firstly, through a series of rock mechanics experiments and CT scanning, we determined 0.85 σc as the key thresholds for mass release of elastic strain energy and bursting of micro-fractures. A correlation between fracture volume density and strain energy density under uniaxial stress state was developed based on the Theory of Geomechanics. Then using the combined Mohr-Coulomb criterion and Griffith’s criterion and considering the effect of filling degree in fractures, we continued to modify and deduce the mechanical models of fracture parameters under complex stress states. Finally, all the geomechanical equations were loaded into the finite element (FE) platform to quantitatively simulate the present-day 3-D distributions of fracture density, aperture, porosity, permeability and occurrence based on paleostructure restoration of the Keshen anticline. Its predictions agreed well with in-situ core observations and formation micro-imaging (FMI) interpretations. The prediction results of permeability were basically consistent with the unobstructed flow distributions before and after the reservoir reformation.

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Multivariate fracture intensity prediction: Application to Oil Mountain anticline, Wyoming

Cited by 24 publications

References 27 publications

Characteristics and formation mechanism of the fractures in Archaean buried hill: A case study in the BZ19‐6 Block, Bohai Bay Basin, China

Characteristics and formation mechanism of the fractures in Archaean buried hill: A case study in the BZ19‐6 Block, Bohai Bay Basin, China

FMI image based rock structure classification using classifier combination

An improved geomechanical model for the prediction of fracture generation and distribution in brittle reservoirs

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