FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912160218> ?p ?o ?g. }

• W2912160218 abstract "Abstract Embedded Discrete-Fracture Model (EDFM) is designed to accurately represent realistic hydraulic fracture network (HFN) and provide efficient performance predictions by honoring the fracture topology. Due to the complexity of HFN, the EDFM grid may be computationally inefficient, particularly for field-scale applications with millions of fracture cells. This paper aims at incorporating the Fast Marching Method (FMM) and spectral clustering for fast HFN analysis, simplification and simulation under the framework of EDFM. HFNs are first generated using a commercial hydraulic fracture simulator. The FMM is used to solve the pressure front propagation using the fracture graph and subsequently the ‘diffusive time of flight’, well and completion index are calculated. The results are used as pre-conditions to split the fracture graph into connected components, which are subsequently partitioned using spectral clustering. The resulting clusters are used for fracture simplification resulting in a significantly lower number of fracture elements for flow simulation. To demonstrate the feasibility of the workflow, we use the Multi-Well Pad pilot model, which is characterized by a complex HFN and a high-resolution matrix system. We investigate the relationship between matrix resolution (characterized by the matrix-fracture size of the reservoir cells) and the ratio of oil and gas production on the field. Our investigation provides an alternative approach to explain the very large Gas Oil Ratio (GOR) reported for this type of reservoirs. The required levels of refinement to correctly represent the observed GOR presents an opportunity to test the efficiency and accuracy of our proposed workflow for HFN simplification. We use the results of the FMM applied to the high-resolution models to find an optimal spectral fracture clustering. The results show that the proposed workflow can achieve massive fracture cells aggregation (with only 1% of the original fracture cell number) while maintaining the accuracy. This is the first study for analysis, simplification, and simulation of HFN for EDFM using a field scale model. The main contributions are: (i) honor the topology of complex HFNs in EDFM and is able to represent the complex physics observed in the oil and gas shale reservoirs, (ii) HFNs diagnosis without simulation, and (iii) massive fracture aggregation with an error below 5 percent, and speed-up higher than 16 times of the fine scale model." @default.
• W2912160218 created "2019-02-21" @default.
• W2912160218 creator A5007824730 @default.
• W2912160218 creator A5027341424 @default.
• W2912160218 creator A5051997845 @default.
• W2912160218 creator A5076237055 @default.
• W2912160218 creator A5083426781 @default.
• W2912160218 date "2019-01-29" @default.
• W2912160218 modified "2023-10-16" @default.
• W2912160218 title "Simplification and Simulation of Fracture Network Using Fast Marching Method and Spectral Clustering for Embedded Discrete Fracture Model" @default.
• W2912160218 cites W1964336037 @default.
• W2912160218 cites W1975025790 @default.
• W2912160218 cites W1994509203 @default.
• W2912160218 cites W1999244633 @default.
• W2912160218 cites W2020340290 @default.
• W2912160218 cites W2034936124 @default.
• W2912160218 cites W2042358352 @default.
• W2912160218 cites W2054113582 @default.
• W2912160218 cites W2083501255 @default.
• W2912160218 cites W2084632725 @default.
• W2912160218 cites W2088608976 @default.
• W2912160218 cites W2095404433 @default.
• W2912160218 cites W2107940287 @default.
• W2912160218 cites W2121947440 @default.
• W2912160218 cites W2125531986 @default.
• W2912160218 cites W2131343962 @default.
• W2912160218 cites W2136935487 @default.
• W2912160218 cites W2155754954 @default.
• W2912160218 cites W2160167256 @default.
• W2912160218 cites W2282070308 @default.
• W2912160218 cites W2341780487 @default.
• W2912160218 cites W2345411445 @default.
• W2912160218 cites W2487694981 @default.
• W2912160218 cites W2499443949 @default.
• W2912160218 cites W2504555682 @default.
• W2912160218 cites W2524526551 @default.
• W2912160218 cites W2587006219 @default.
• W2912160218 cites W2605000752 @default.
• W2912160218 cites W2745507741 @default.
• W2912160218 cites W2747954288 @default.
• W2912160218 cites W2763535034 @default.
• W2912160218 cites W2766235157 @default.
• W2912160218 cites W2801832251 @default.
• W2912160218 cites W2886336706 @default.
• W2912160218 cites W2892581832 @default.
• W2912160218 cites W2894239959 @default.
• W2912160218 cites W4312403480 @default.
• W2912160218 doi "https://doi.org/10.2118/194368-ms" @default.
• W2912160218 hasPublicationYear "2019" @default.
• W2912160218 type Work @default.
• W2912160218 sameAs 2912160218 @default.
• W2912160218 citedByCount "3" @default.
• W2912160218 countsByYear W29121602182019 @default.
• W2912160218 countsByYear W29121602182021 @default.
• W2912160218 crossrefType "proceedings-article" @default.
• W2912160218 hasAuthorship W2912160218A5007824730 @default.
• W2912160218 hasAuthorship W2912160218A5027341424 @default.
• W2912160218 hasAuthorship W2912160218A5051997845 @default.
• W2912160218 hasAuthorship W2912160218A5076237055 @default.
• W2912160218 hasAuthorship W2912160218A5083426781 @default.
• W2912160218 hasConcept C105611402 @default.
• W2912160218 hasConcept C106487976 @default.
• W2912160218 hasConcept C11413529 @default.
• W2912160218 hasConcept C114614502 @default.
• W2912160218 hasConcept C132525143 @default.
• W2912160218 hasConcept C154945302 @default.
• W2912160218 hasConcept C159985019 @default.
• W2912160218 hasConcept C177212765 @default.
• W2912160218 hasConcept C184720557 @default.
• W2912160218 hasConcept C192562407 @default.
• W2912160218 hasConcept C33923547 @default.
• W2912160218 hasConcept C41008148 @default.
• W2912160218 hasConcept C43369102 @default.
• W2912160218 hasConcept C44154836 @default.
• W2912160218 hasConcept C459310 @default.
• W2912160218 hasConcept C73555534 @default.
• W2912160218 hasConcept C77088390 @default.
• W2912160218 hasConcept C80444323 @default.
• W2912160218 hasConceptScore W2912160218C105611402 @default.
• W2912160218 hasConceptScore W2912160218C106487976 @default.
• W2912160218 hasConceptScore W2912160218C11413529 @default.
• W2912160218 hasConceptScore W2912160218C114614502 @default.
• W2912160218 hasConceptScore W2912160218C132525143 @default.
• W2912160218 hasConceptScore W2912160218C154945302 @default.
• W2912160218 hasConceptScore W2912160218C159985019 @default.
• W2912160218 hasConceptScore W2912160218C177212765 @default.
• W2912160218 hasConceptScore W2912160218C184720557 @default.
• W2912160218 hasConceptScore W2912160218C192562407 @default.
• W2912160218 hasConceptScore W2912160218C33923547 @default.
• W2912160218 hasConceptScore W2912160218C41008148 @default.
• W2912160218 hasConceptScore W2912160218C43369102 @default.
• W2912160218 hasConceptScore W2912160218C44154836 @default.
• W2912160218 hasConceptScore W2912160218C459310 @default.
• W2912160218 hasConceptScore W2912160218C73555534 @default.
• W2912160218 hasConceptScore W2912160218C77088390 @default.
• W2912160218 hasConceptScore W2912160218C80444323 @default.
• W2912160218 hasLocation W29121602181 @default.
• W2912160218 hasOpenAccess W2912160218 @default.
• W2912160218 hasPrimaryLocation W29121602181 @default.
• W2912160218 hasRelatedWork W2081035100 @default.

• next