Automatic Fracture Identification Using Ant Tracking in Tahe Oilfield

Hu, Jia; Kang, Zhihong; Yuan, Lu

doi:10.4028/www.scientific.net/amr.962-965.556

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…The Ant-Tracking algorithm has been utilized for the construction of the DFN model. The ant-tracking algorithm simulates a fracture pattern analogous to ants making pathways optimal for searching food (Hu et al, 2014). During their search for food, ants leave pheromones along the pathways to inform other ants about the possibly shortest passage to any located food (Silva et al, 2005).…”

Section: Frontiers In Earth Sciencementioning

confidence: 99%

“…The same concept is used in the Ant-tracking algorithm for 3D seismic volume (Pedersen et al, 2002). Ant-tracking distributes a vast number of electronic "ants" over a seismic volume with each "ant" moving through a fractured surface-emitting "pheromone" for the rest to follow (Hu et al, 2014). Hence a large number of "ants" will trace planar surfaces like faults and fractures in a 3D seismic volume marked by the "pheromones" that the "ants" left compared to the nonstructure element i.e., noise, which will be marked by a smaller number of "pheromones" (Cox and Seitz, 2007;Hu et al, 2014).…”

Section: Frontiers In Earth Sciencementioning

confidence: 99%

“…Ant-tracking distributes a vast number of electronic "ants" over a seismic volume with each "ant" moving through a fractured surface-emitting "pheromone" for the rest to follow (Hu et al, 2014). Hence a large number of "ants" will trace planar surfaces like faults and fractures in a 3D seismic volume marked by the "pheromones" that the "ants" left compared to the nonstructure element i.e., noise, which will be marked by a smaller number of "pheromones" (Cox and Seitz, 2007;Hu et al, 2014). Furthermore, deviation up to only 15 °is allowed to "ants" from their original direction in order to improve and reinforce the tracing of planar structure (faults and fractures) rather than seismic irregularity due to noise (Fang et al, 2017).…”

Section: Frontiers In Earth Sciencementioning

confidence: 99%

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A practical approach to develop a proper anisotropic rock physics model for media comprising of multiple fracture sets in the absence of sophisticated laboratory/wireline data

et al. 2022

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For economical production from a fractured reservoir, a characteristic analysis of the fracture parameters like its density and orientation within the reservoir is essential to improve the fluid flow during extraction. This study deals with the development of a proper anisotropic rock physics model for a media with multiple fracture sets to study the spatial distribution of important fracture parameters i.e., fracture density and orientation in the absence of sophisticated laboratory/wireline and pre-stack seismic data. The crest of hydrocarbon producing fault-bounded Balkassar Anticline in Northern Potwar, Upper Indus Basin, Pakistan is selected as a case study representing a potential zone for development of fractures at reservoir level (Sakesar Limestone). The methodology consists of the interpretation of 3D post-stack seismic and conventional wireline log data to demarcate the reservoir containing fractures. The Ant-tracking discrete fracture network (DFN) attribute is applied on 3D post-stack seismic data to obtain an initial estimate about the presence of fracture corridors and their orientations. Based on this initial estimate, a proper rock physics model has been developed utilizing inverse Gassmann relations, T-matrix approximation, and Brown and Korringa relations. The output from the developed rock physics model has been displayed in the form of 13 effective independent elastic stiffness constants (monoclinic symmetry–representing media comprising of multiple fracture sets) as a function of fracture densities and azimuthal fracture orientations. A clear decreasing trend in effective elastic stiffness constants with increasing fracture densities can be observed. Similarly, a periodic trend of effective elastic stiffness constants with fracture orientations can be observed. These trends are more or less expected, but they would have been difficult to quantify without a proper rock physics model. The use of independent effective elastic constants for the generation of synthetic seismic amplitude versus angle and azimuth (AVAZ) data and its correlation with observed seismic AVAZ data in a geostatistical sense has been discussed.

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Section: Frontiers In Earth Sciencementioning

confidence: 99%

Section: Frontiers In Earth Sciencementioning

confidence: 99%

Section: Frontiers In Earth Sciencementioning

confidence: 99%

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A practical approach to develop a proper anisotropic rock physics model for media comprising of multiple fracture sets in the absence of sophisticated laboratory/wireline data

et al. 2022

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“…Conventionally, the hydraulically induced fracture was assumed to be a long planar fracture, and several models such as PKN (Perkins and Kern 1961) and P3D (Mack and Warpinski 2000) were introduced to describe the relationships between the pumping parameters and the fracture geometry. One can simulate the geometries of fracture length, height, and aperture through matching several equations of geomechanics and rheology.…”

Section: Introductionmentioning

confidence: 99%

Discrete-Fracture-Network Generation From Microseismic Data by Use of Moment-Tensor- and Event-Location-Constrained Hough Transforms

Rutledge

Leaney

et al. 2016

SPE Journal

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Reservoir simulation and prediction of production associated with hydraulic-fracturing require the input of the fracture geometry and the fracture properties such as the porosity and retained permeability. Various methods were suggested and applied for deriving discrete fracture networks (DFNs) from microseismic data as a framework for modeling reservoir performance. Although microseismic data are the best diagnostics for revealing the volume of rock fractured, its incompleteness in representing the deformation induced presents a challenge to calibrate and represent complex fracture networks created and connected during hydraulic-fracture stimulation. We present an automated method to generate DFN models constrained by the microseismic locations and fracture plane orientations derived from moment-tensor analysis. We use a Hough-transform technique to find significant planar features from combinations of the microseismic source locations. We have modified the technique with an equal-probability voting scheme to remove an inherent bias for horizontal planes. The voting mechanism is a general grid search in the space of fracture strike, dip, and location (u; h; r, respectively) with grid-cell sizes scaled by uncertainty estimates of u; h; r. We constrain fracture orientations with weighting on the basis of the moment-tensor orientations of neighboring events and their associated uncertainties. With two case studies, we demonstrate that our automated technique can reliably extract the complex fracture network on the basis of good matches with the event-cloud trends and the input moment-tensor orientations. We also tested the sensitivity of the technique to event-location uncertainty. With increasing location uncertainty, the details of the fracture network extracted are diminished with events grouping to larger-scale features, but the general shape and orientation of the fracture network obtained are insensitive to the location uncertainty.

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Efficient fracture network characterization in enhanced geothermal reservoirs by the integration of microseismic and borehole logs data

Liu¹,

Xu²,

Chen³

et al. 2023

Geothermics

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Automatic Fracture Identification Using Ant Tracking in Tahe Oilfield

Cited by 7 publications

References 3 publications

A practical approach to develop a proper anisotropic rock physics model for media comprising of multiple fracture sets in the absence of sophisticated laboratory/wireline data

A practical approach to develop a proper anisotropic rock physics model for media comprising of multiple fracture sets in the absence of sophisticated laboratory/wireline data

Discrete-Fracture-Network Generation From Microseismic Data by Use of Moment-Tensor- and Event-Location-Constrained Hough Transforms

Efficient fracture network characterization in enhanced geothermal reservoirs by the integration of microseismic and borehole logs data

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