FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2122763259> ?p ?o ?g. }

• W2122763259 endingPage "452" @default.
• W2122763259 startingPage "438" @default.
• W2122763259 abstract "Summary In many reservoirs, fracture growth may be complex because of the interaction of the hydraulic fracture with natural fractures, fissures, and other geologic heterogeneities. The decision whether to control or exploit fracture complexity has significant impact on fracture design and well performance. This paper investigates fracture-treatment-design issues as they relate to various degrees and types of fracture complexity (i.e., complex planar fractures and network fracture behavior), focusing on fracture-conductivity requirements for complex fractures. The paper includes general guidelines for treatment design when fracture growth is complex, including criteria for the application of water-fracs, hybrid fracs, and crosslinked fluids. The effect of proppant distribution on gas-well performance is examined for cases when fracture growth is complex, assuming that proppant was either concentrated in a primary planar fracture or evenly distributed in a fracture network. Examples are presented that show that when fracture growth is complex, the average proppant concentration will likely be too low to materially impact well performance if proppant is evenly distributed in the fracture network and unpropped-fracture conductivity will control gas production. Reservoir simulations illustrate that the network-fracture conductivity required to maximize production is proportional to the square root of fracture spacing, indicating that increasing fracture complexity will reduce conductivity requirements. The reservoir simulations show that fracture-conductivity requirements are proportional k1/2 for small networks and k1/4 for large networks, indicating much higher conductivity requirements for low-permeability reservoirs than would be predicted using classical dimensionless conductivity calculations (FCD) where conductivity requirements are proportionate to reservoir permeability (k). The results show that when fracture growth is complex, proppant distribution will have a significant impact on network-conductivity requirement and well performance. If an infinite-conductivity primary fracture can be created, network-fracture-conductivity requirements are reduced by a factor of 10 to 100, depending on the size of the network. The decision to exploit or control fracture complexity depends on reservoir permeability, the degree of fracture complexity, and unpropped-fracture conductivity. It can be beneficial to exploit fracture complexity when the permeability is on the order of 0.0001 md by generating large fracture networks using low-viscosity fluids (water fracs). As reservoir permeability approaches 0.01 md, fluid efficiency decreases, and fracture-conductivity requirements increase, fracture designs can be tailored to generate small networks with improved conductivity using medium-viscosity or multiple fluids (hybrid fracs). Fracture complexity should be controlled using high-viscosity fluids, and fracture conductivity should be optimized for moderate-permeability reservoirs, on the order of 1 md." @default.
• W2122763259 created "2016-06-24" @default.
• W2122763259 creator A5004150006 @default.
• W2122763259 creator A5011388895 @default.
• W2122763259 creator A5044871777 @default.
• W2122763259 creator A5053620443 @default.
• W2122763259 creator A5061595354 @default.
• W2122763259 date "2010-09-24" @default.
• W2122763259 modified "2023-09-30" @default.
• W2122763259 title "The Relationship Between Fracture Complexity, Reservoir Properties, and Fracture-Treatment Design" @default.
• W2122763259 cites W1493608986 @default.
• W2122763259 cites W1509816694 @default.
• W2122763259 cites W1575259476 @default.
• W2122763259 cites W1608019363 @default.
• W2122763259 cites W1965014847 @default.
• W2122763259 cites W1965661659 @default.
• W2122763259 cites W1970013649 @default.
• W2122763259 cites W1970190759 @default.
• W2122763259 cites W1975517694 @default.
• W2122763259 cites W1976748604 @default.
• W2122763259 cites W1985118546 @default.
• W2122763259 cites W1986862939 @default.
• W2122763259 cites W1994932537 @default.
• W2122763259 cites W1999002887 @default.
• W2122763259 cites W2002238072 @default.
• W2122763259 cites W2005361265 @default.
• W2122763259 cites W2009745692 @default.
• W2122763259 cites W2010384661 @default.
• W2122763259 cites W2011723909 @default.
• W2122763259 cites W2013199270 @default.
• W2122763259 cites W2013338800 @default.
• W2122763259 cites W2019410261 @default.
• W2122763259 cites W2025325570 @default.
• W2122763259 cites W2031400972 @default.
• W2122763259 cites W2034271913 @default.
• W2122763259 cites W2043267889 @default.
• W2122763259 cites W2049171609 @default.
• W2122763259 cites W2049589991 @default.
• W2122763259 cites W2050112129 @default.
• W2122763259 cites W2050643773 @default.
• W2122763259 cites W2051829219 @default.
• W2122763259 cites W2053034371 @default.
• W2122763259 cites W2056956197 @default.
• W2122763259 cites W2057397064 @default.
• W2122763259 cites W2058032203 @default.
• W2122763259 cites W2061018100 @default.
• W2122763259 cites W2063566007 @default.
• W2122763259 cites W2066282139 @default.
• W2122763259 cites W2075554956 @default.
• W2122763259 cites W2082748724 @default.
• W2122763259 cites W2085723303 @default.
• W2122763259 cites W2087938594 @default.
• W2122763259 cites W2095534948 @default.
• W2122763259 cites W2125928228 @default.
• W2122763259 cites W2153359029 @default.
• W2122763259 cites W2173619605 @default.
• W2122763259 cites W2484915548 @default.
• W2122763259 doi "https://doi.org/10.2118/115769-pa" @default.
• W2122763259 hasPublicationYear "2010" @default.
• W2122763259 type Work @default.
• W2122763259 sameAs 2122763259 @default.
• W2122763259 citedByCount "93" @default.
• W2122763259 countsByYear W21227632592012 @default.
• W2122763259 countsByYear W21227632592013 @default.
• W2122763259 countsByYear W21227632592014 @default.
• W2122763259 countsByYear W21227632592015 @default.
• W2122763259 countsByYear W21227632592016 @default.
• W2122763259 countsByYear W21227632592017 @default.
• W2122763259 countsByYear W21227632592018 @default.
• W2122763259 countsByYear W21227632592019 @default.
• W2122763259 countsByYear W21227632592020 @default.
• W2122763259 countsByYear W21227632592021 @default.
• W2122763259 countsByYear W21227632592022 @default.
• W2122763259 countsByYear W21227632592023 @default.
• W2122763259 crossrefType "journal-article" @default.
• W2122763259 hasAuthorship W2122763259A5004150006 @default.
• W2122763259 hasAuthorship W2122763259A5011388895 @default.
• W2122763259 hasAuthorship W2122763259A5044871777 @default.
• W2122763259 hasAuthorship W2122763259A5053620443 @default.
• W2122763259 hasAuthorship W2122763259A5061595354 @default.
• W2122763259 hasConcept C121332964 @default.
• W2122763259 hasConcept C127313418 @default.
• W2122763259 hasConcept C131540310 @default.
• W2122763259 hasConcept C141071460 @default.
• W2122763259 hasConcept C147789679 @default.
• W2122763259 hasConcept C159390177 @default.
• W2122763259 hasConcept C159750122 @default.
• W2122763259 hasConcept C185592680 @default.
• W2122763259 hasConcept C187320778 @default.
• W2122763259 hasConcept C192562407 @default.
• W2122763259 hasConcept C24872484 @default.
• W2122763259 hasConcept C2993709819 @default.
• W2122763259 hasConcept C3020702983 @default.
• W2122763259 hasConcept C43369102 @default.
• W2122763259 hasConcept C57879066 @default.
• W2122763259 hasConcept C63184880 @default.
• W2122763259 hasConcept C71924100 @default.
• W2122763259 hasConcept C78762247 @default.

• next