FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2781404940> ?p ?o ?g. }

• W2781404940 endingPage "383" @default.
• W2781404940 startingPage "374" @default.
• W2781404940 abstract "Abstract With the increasing of clean energy demands and the maturing of shale gas extraction technology, multiple fractured horizontal well (MFHW) has become the most key technology for shale gas development. After hydraulic fracturing, fracture networks, which consist of natural fractures, hydraulic fractures and secondary fractures, are formed around the wellbore. Compared to conventional gas reservoirs, shale gas reservoirs are characterized by the complex fracture networks and gas adsorptions in shale matrix. Therefore, it is essential to propose a new productivity evaluation method for shale gas wells to handle these characteristics. In this paper, to account for special characteristics of MFHW, a complex fracture model for shale gas reservoirs is established. With the new method, shale reservoirs are depicted by De Swaan dual porosity model, where the secondary fractures and hydraulic fractures are characterized by discrete units. Therefore, together with micro-seismic data, fracture networks can be exactly described using this new model. With a well-depicted facture network, Green function and superposition method are then adopted to model the flow in the reservoir, and finite difference method is used to solve the equations of one-dimensional flow in fracture system. Besides, to deal with the complex flow in the fracture intersection, star-delta transformation is applied Finally, the equations of reservoir and fracture system, the solution in Laplace domain is obtained, which can then be transferred to real domain using the Stehfest algorithm. Comparisons were made between the results of the proposed model and that of a numerical model accomplished by commercial simulator Eclipse for a specific case to verify the accuracy of the model. Results show that the semi-analytical method is more efficient than numerical method by reducing the computing time without losing accuracy. Moreover, the semi-analytical productivity evaluation method can describe fracture networks more exactly. Then, a field case from Sichuan Basin of China is applied in the analysis. The results shows that desorption gas takes up 10%-30% of the total production in this case. Besides, the effects of storage capacity ratio and inter-porosity flow coefficient on type curves were analyzed based on the production decline curves. In addition, pressure profiles of different production times are obtained by the superposition of pressure potential." @default.
• W2781404940 created "2018-01-05" @default.
• W2781404940 creator A5028923457 @default.
• W2781404940 creator A5038035445 @default.
• W2781404940 creator A5063285358 @default.
• W2781404940 creator A5067370684 @default.
• W2781404940 creator A5082748906 @default.
• W2781404940 creator A5083689063 @default.
• W2781404940 date "2018-02-01" @default.
• W2781404940 modified "2023-09-24" @default.
• W2781404940 title "A semi-analytical model to evaluate productivity of shale gas wells with complex fracture networks" @default.
• W2781404940 cites W1963838272 @default.
• W2781404940 cites W1965876329 @default.
• W2781404940 cites W1968088324 @default.
• W2781404940 cites W1978359449 @default.
• W2781404940 cites W1980005359 @default.
• W2781404940 cites W1989440434 @default.
• W2781404940 cites W1999524631 @default.
• W2781404940 cites W2013384037 @default.
• W2781404940 cites W2014814472 @default.
• W2781404940 cites W2020187795 @default.
• W2781404940 cites W2049390776 @default.
• W2781404940 cites W2075234522 @default.
• W2781404940 cites W2079842047 @default.
• W2781404940 cites W2093036719 @default.
• W2781404940 cites W2093445429 @default.
• W2781404940 cites W2132425502 @default.
• W2781404940 cites W2165286423 @default.
• W2781404940 cites W2309921674 @default.
• W2781404940 cites W2655770209 @default.
• W2781404940 cites W3023799655 @default.
• W2781404940 cites W337782036 @default.
• W2781404940 cites W4206620469 @default.
• W2781404940 cites W4236319671 @default.
• W2781404940 doi "https://doi.org/10.1016/j.jngse.2017.09.010" @default.
• W2781404940 hasPublicationYear "2018" @default.
• W2781404940 type Work @default.
• W2781404940 sameAs 2781404940 @default.
• W2781404940 citedByCount "16" @default.
• W2781404940 countsByYear W27814049402018 @default.
• W2781404940 countsByYear W27814049402019 @default.
• W2781404940 countsByYear W27814049402020 @default.
• W2781404940 countsByYear W27814049402021 @default.
• W2781404940 countsByYear W27814049402022 @default.
• W2781404940 countsByYear W27814049402023 @default.
• W2781404940 crossrefType "journal-article" @default.
• W2781404940 hasAuthorship W2781404940A5028923457 @default.
• W2781404940 hasAuthorship W2781404940A5038035445 @default.
• W2781404940 hasAuthorship W2781404940A5063285358 @default.
• W2781404940 hasAuthorship W2781404940A5067370684 @default.
• W2781404940 hasAuthorship W2781404940A5082748906 @default.
• W2781404940 hasAuthorship W2781404940A5083689063 @default.
• W2781404940 hasConcept C127313418 @default.
• W2781404940 hasConcept C127413603 @default.
• W2781404940 hasConcept C139719470 @default.
• W2781404940 hasConcept C153127940 @default.
• W2781404940 hasConcept C162324750 @default.
• W2781404940 hasConcept C187320778 @default.
• W2781404940 hasConcept C204983608 @default.
• W2781404940 hasConcept C2993020645 @default.
• W2781404940 hasConcept C43369102 @default.
• W2781404940 hasConcept C548081761 @default.
• W2781404940 hasConcept C78762247 @default.
• W2781404940 hasConceptScore W2781404940C127313418 @default.
• W2781404940 hasConceptScore W2781404940C127413603 @default.
• W2781404940 hasConceptScore W2781404940C139719470 @default.
• W2781404940 hasConceptScore W2781404940C153127940 @default.
• W2781404940 hasConceptScore W2781404940C162324750 @default.
• W2781404940 hasConceptScore W2781404940C187320778 @default.
• W2781404940 hasConceptScore W2781404940C204983608 @default.
• W2781404940 hasConceptScore W2781404940C2993020645 @default.
• W2781404940 hasConceptScore W2781404940C43369102 @default.
• W2781404940 hasConceptScore W2781404940C548081761 @default.
• W2781404940 hasConceptScore W2781404940C78762247 @default.
• W2781404940 hasLocation W27814049401 @default.
• W2781404940 hasOpenAccess W2781404940 @default.
• W2781404940 hasPrimaryLocation W27814049401 @default.
• W2781404940 hasRelatedWork W1928095508 @default.
• W2781404940 hasRelatedWork W1989679970 @default.
• W2781404940 hasRelatedWork W2211413657 @default.
• W2781404940 hasRelatedWork W2369056971 @default.
• W2781404940 hasRelatedWork W2393154454 @default.
• W2781404940 hasRelatedWork W2394283296 @default.
• W2781404940 hasRelatedWork W2808768134 @default.
• W2781404940 hasRelatedWork W2902512846 @default.
• W2781404940 hasRelatedWork W2944829498 @default.
• W2781404940 hasRelatedWork W2946875900 @default.
• W2781404940 hasVolume "50" @default.
• W2781404940 isParatext "false" @default.
• W2781404940 isRetracted "false" @default.
• W2781404940 magId "2781404940" @default.
• W2781404940 workType "article" @default.