Comprehensive evaluation of fracture parameters by dual laterolog data

Saboorian‐Jooybari, Hadi; Dejam, Morteza; Chen, Zhangxin; Pourafshary, Peyman

doi:10.1016/j.jappgeo.2016.06.005

Cited by 41 publications

(11 citation statements)

References 4 publications

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“…Permeability is a property of the reservoir rock that measures the capacity of the formation to transmit fluid (Shen et al., 2017). The matrix pore size, fracture length, and radius have the significant influences on permeability in the reservoir media (Saboorian-Jooybari et al., 2016). In order to analyze the effect of pore and fracture radius, the values of the different ratios of fracture radius to pore radius are considered in the pore-fracture network model.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Study on the effects of fracture on permeability with pore-fracture network model

Jiao

et al. 2018

Energy Exploration & Exploitation

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Reservoir quality and productivity of fractured gas reservoirs depend heavily on the degree of fracture development. The fracture evaluation of such reservoir media is the key to quantify reservoir characterization for the purposes such as well drilling and completion as well as development and simulation of fractured gas reservoirs. In this study, a pore-fracture network model was constructed to understand the effects of fracture on permeability in the reservoir media. The microstructure parameters of fractures including fracture length, fracture density, fracture number, and fracture radius were analyzed. Then two modes and effects of matrix and fracture network control were discussed. The results indicate that the network permeability in the fractured reservoir media will increase linearly with fracture length, fracture density, fracture number, and fracture radius. When the fracture radius exceeds 80 mm, the fracture radius has a little effect on network permeability. Within the fracture density less than 0.55, it belongs to the matrix control mode, while the fracture network control mode is dominant in the fracture density exceeding 0.55. The network permeability in the matrix and fracture network control modes is affected by fracture density and the ratio of fracture radius to pore radius. There is a great change in the critical density for the matrix network control compared with the fracture network control. This work can provide a better understanding of the relationship between matrix and fractures, and the effects of fracture on permeability so as to evaluate the fluid flow in the fractured reservoir media.

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Section: Resultsmentioning

confidence: 99%

“…Fracture density is one of the main fracture parameters to evaluate the reservoir quality in such reservoir media, which has a great effect on the fluid flow in the fractured reservoir media (Saboorian-Jooybari et al., 2016). In the pore-fracture network model, the fracture density is defined as the fracture number divided by the node number.…”

Section: Resultsmentioning

confidence: 99%

Study on the effects of fracture on permeability with pore-fracture network model

Jiao

et al. 2018

Energy Exploration & Exploitation

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“…Most oilfields in China are experiencing high water cuts; further, because of the complex geological conditions of these oilfields and the large differences in the nature of crude oil, 70% of the residual oil remains underground. In this regard, two aspects that significantly aid oilfield development are (i) an accurate description of the oil-water distribution characteristics and the genesis of residual oil in the reservoir [3,4] and (ii) a quantitative characterization of the residual oil content. Therefore, it is necessary to describe the macro-and microdistributions of residual oil accurately [5].…”

Section: Introductionmentioning

confidence: 99%

Microscopic Residual Oil Distribution Characteristics and Quantitative Characterization of Producing Degree Based on Core Fluorescence Analysis Technology

et al. 2021

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In this study, to address the insufficiency of research on the distribution characteristics and quantitative characterization of oil, water, and rock in a reservoir, laser confocal and core fluorescence analysis techniques are combined with core flooding experiments to investigate oil–water distribution characteristics in the core and the microscopic origin of residual oil. The results obtained show that the three-dimensional (3D) distribution characteristics of oil, water, and rock can be depicted using a laser confocal technique. Free and bound states are dominated by water flooding, and their total proportion is 93.65%, while the semibound state only accounts for 6.35% of the total. Polymer flooding has clear effects such as production of cluster-like residual oil, interparticle adsorption state residual oil, pore surface oil film, and corner residual oil. After alkali-surfactant-polymer (ASP) flooding, the residual oil produced at the lowest degree corresponds to particle adsorption oil, pore surface oil films, and interparticle adsorption state residual oil. The emulsion transition process in porous media, i.e., Winsor I→Winsor III→Winsor II, is studied. Moreover, the fluorescence analysis technology is used to clarify the causes for residual oil production, namely, pore structure, crude oil viscosity, the Jia Min effect, particle migration, and adsorption capacity. The combination of laser confocal and fluorescence analysis technology can help realize the three-dimensional reconstruction of the fluid in the core, and it can quantitatively characterize the microscopic residual oil. According to the analysis results, it can also guide the formulation and adjustment of oilfield development plans.

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“…Formation fractures are discontinuous profiles widely distributed in different lithologies and gradually formed through diagenesis or tectonic deformation. Naturally fractured reservoirs store over 50% of the known petroleum and gas reserves worldwide [1]. Accordingly, the detection of fractures has attracted plenty of researchers because they are vital indicators of the admissibility of petroleum and gas reservoirs in tight formations [2] and affect reservoir properties, enrichment, and gas reservoir development [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Automatic Detection of Fractures Based on Optimal Path Search in Well Logging Images

Zhang

et al. 2021

Journal of Sensors

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Reservoir fractures are essential locations to gather oil and gas. Recently, imaging logging technology has become a mainstream method for obtaining stratigraphic information. This paper proposed a combined optimal path search strategy to effectively identify and extract the fracture information in well logging images. Specifically, the threshold segmentation of logging images is used to obtain the binary image. In addition, the identification of connected fractures in the logging image is transformed into the optimal path search, and the identification and extraction of reservoir fractures are realized by constructing the optimal path between the two ends of fractures. Finally, an improved ant colony algorithm is applied to filter irrelevant information and extract fractures automatically by recording all the ants’ exploration trajectories in the ant colony. Compared with previous approaches, the proposed method can eliminate irrelevant background features and merely reserve pixels corresponding to fractures. Simultaneously, relative to the conventional strategy, the time consumption is reduced by more than 98%. The findings of this study can help for better extracting fractures automatically and reducing manual workload.

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Comprehensive evaluation of fracture parameters by dual laterolog data

Cited by 41 publications

References 4 publications

Study on the effects of fracture on permeability with pore-fracture network model

Study on the effects of fracture on permeability with pore-fracture network model

Microscopic Residual Oil Distribution Characteristics and Quantitative Characterization of Producing Degree Based on Core Fluorescence Analysis Technology

Automatic Detection of Fractures Based on Optimal Path Search in Well Logging Images

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