{"id":{"repo_id":"colo-mines","oai_identifier":"oai:repository.mines.edu:11124/176497"},"canonical_url":"https://search.dev.ndltd.org/etd/colo-mines/oai:repository.mines.edu:11124/176497","repository":{"repo_id":"colo-mines","name":"Colorado School of Mines","base_url":"https://repository.mines.edu/server/oai/request"},"display":{"title":"Evaluation of diagnostic fracture injection test (DFIT) and rate transient analysis (RTA) in Hereford field, northern DJ Basin","abstract":"Since the inception of unconventional reservoir development in the United States, hydraulic fracturing and acidizing have become the primary techniques for stimulating these ultra-low permeability reservoirs. Furthermore, unlike conventional reservoirs, unconventional reservoirs require a much deeper understanding of reservoir sediment. Geology and geophysics can provide information on the nature of sediments and structural positions while petroleum engineers are positioned to gather information pertaining to reservoir flow properties, well completion design and efficacy, and future production forecast.Production from unconventional shale reservoirs has a rapid decline feature starting with a relatively high initial production rate. The stimulated unconventional reservoir production characteristics are highly related to a physical structure of pore space, pore connectivity, and natural fracture density in such reservoirs. Because of the flow dominance of fractures—natural and from well stimulation, these reservoirs are categorized as dual-porosity reservoirs. The two interacting pore channels are called matrix and fractures. Matrix space is tight in terms of flow capacity; however, it contributes to the long-term production, while fractures have high permeability and carry the flow from the matrix to wells. Hydraulic fracturing is a well-established technique in stimulating unconventional shale reservoirs. In this thesis I use a hydraulic fracture model developed by Perkins-Kern and farther extended by Nordgren. The combined models are referred to as Perkins-Kern-Nordgren (PKN) model. Both models utilize a basic mathematical formulation developed by Carter in 1957. I apply the PKN model in interpreting field data from diagnostic fracture injection test (DFIT). Then, I use the PKN model to several individual hydraulic fracture stages and interpreted the falloff data from such tests to obtain effective fracture permeability of the stimulated reservoir volumes. Finally, I evaluate the production data of legacy wells using rate transient analysis (RTA).","abstract_html":"Since the inception of unconventional reservoir development in the United States, hydraulic fracturing and acidizing have become the primary techniques for stimulating these ultra-low permeability reservoirs. Furthermore, unlike conventional reservoirs, unconventional reservoirs require a much deeper understanding of reservoir sediment. Geology and geophysics can provide information on the nature of sediments and structural positions while petroleum engineers are positioned to gather information pertaining to reservoir flow properties, well completion design and efficacy, and future production forecast.Production from unconventional shale reservoirs has a rapid decline feature starting with a relatively high initial production rate. The stimulated unconventional reservoir production characteristics are highly related to a physical structure of pore space, pore connectivity, and natural fracture density in such reservoirs. Because of the flow dominance of fractures—natural and from well stimulation, these reservoirs are categorized as dual-porosity reservoirs. The two interacting pore channels are called matrix and fractures. Matrix space is tight in terms of flow capacity; however, it contributes to the long-term production, while fractures have high permeability and carry the flow from the matrix to wells. Hydraulic fracturing is a well-established technique in stimulating unconventional shale reservoirs. In this thesis I use a hydraulic fracture model developed by Perkins-Kern and farther extended by Nordgren. The combined models are referred to as Perkins-Kern-Nordgren (PKN) model. Both models utilize a basic mathematical formulation developed by Carter in 1957. I apply the PKN model in interpreting field data from diagnostic fracture injection test (DFIT). Then, I use the PKN model to several individual hydraulic fracture stages and interpreted the falloff data from such tests to obtain effective fracture permeability of the stimulated reservoir volumes. Finally, I evaluate the production data of legacy wells using rate transient analysis (RTA).","abstract_has_math":false,"creators":["Bekbossinov, Nurbol"],"institution":"Colorado School of Mines. Arthur Lakes Library","degree_name":"Master of Science (M.S.)","degree_level":"Masters","degree_discipline":"Petroleum Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Kazemi, Hossein"],"committee_chairs":[],"committee_members":["Sonnenberg, Stephen A.","Tura, Ali","Zerpa, Luis E."],"year":2021,"date_issued":"2021","date_published":"2021","updated_at":"2026-07-24T01:41:37Z","subjects":[],"languages":["eng","English"],"rights":["Copyright of the original work is retained by the author."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["T 9219"],"render_values":[{"text":"T 9219","href":null,"code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/11124/176497","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Kazemi, Hossein"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Sonnenberg, Stephen A.","Tura, Ali","Zerpa, Luis E."]},{"key":"dc:creator","label":"Author","values":["Bekbossinov, Nurbol"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2021-09-13T10:20:47Z","2022-02-03T13:24:55Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2021-09-13T10:20:47Z","2022-02-03T13:24:55Z"]},{"key":"dc:date.issued","label":"Date","values":["2021"]},{"key":"dc:publisher","label":"Institution","values":["Colorado School of Mines. 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Furthermore, unlike conventional reservoirs, unconventional reservoirs require a much deeper understanding of reservoir sediment. Geology and geophysics can provide information on the nature of sediments and structural positions while petroleum engineers are positioned to gather information pertaining to reservoir flow properties, well completion design and efficacy, and future production forecast.Production from unconventional shale reservoirs has a rapid decline feature starting with a relatively high initial production rate. The stimulated unconventional reservoir production characteristics are highly related to a physical structure of pore space, pore connectivity, and natural fracture density in such reservoirs. Because of the flow dominance of fractures—natural and from well stimulation, these reservoirs are categorized as dual-porosity reservoirs. The two interacting pore channels are called matrix and fractures. Matrix space is tight in terms of flow capacity; however, it contributes to the long-term production, while fractures have high permeability and carry the flow from the matrix to wells. Hydraulic fracturing is a well-established technique in stimulating unconventional shale reservoirs. In this thesis I use a hydraulic fracture model developed by Perkins-Kern and farther extended by Nordgren. The combined models are referred to as Perkins-Kern-Nordgren (PKN) model. Both models utilize a basic mathematical formulation developed by Carter in 1957. I apply the PKN model in interpreting field data from diagnostic fracture injection test (DFIT). Then, I use the PKN model to several individual hydraulic fracture stages and interpreted the falloff data from such tests to obtain effective fracture permeability of the stimulated reservoir volumes. Finally, I evaluate the production data of legacy wells using rate transient analysis (RTA)."]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["born digital","masters theses"]},{"key":"dc:title","label":"Title","values":["Evaluation of diagnostic fracture injection test (DFIT) and rate transient analysis (RTA) in Hereford field, northern DJ Basin"]}]}],"canonical_facts":{"dc:contributor.advisor":["Kazemi, Hossein"],"dc:contributor.committeemember":["Sonnenberg, Stephen A.","Tura, Ali","Zerpa, Luis E."],"dc:creator":["Bekbossinov, Nurbol"],"dc:date.accessioned":["2021-09-13T10:20:47Z","2022-02-03T13:24:55Z"],"dc:date.available":["2021-09-13T10:20:47Z","2022-02-03T13:24:55Z"],"dc:date.issued":["2021"],"dc:description":["Includes bibliographical references.","2021 Summer."],"dc:description.abstract":["Since the inception of unconventional reservoir development in the United States, hydraulic fracturing and acidizing have become the primary techniques for stimulating these ultra-low permeability reservoirs. 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Matrix space is tight in terms of flow capacity; however, it contributes to the long-term production, while fractures have high permeability and carry the flow from the matrix to wells. Hydraulic fracturing is a well-established technique in stimulating unconventional shale reservoirs. In this thesis I use a hydraulic fracture model developed by Perkins-Kern and farther extended by Nordgren. The combined models are referred to as Perkins-Kern-Nordgren (PKN) model. Both models utilize a basic mathematical formulation developed by Carter in 1957. I apply the PKN model in interpreting field data from diagnostic fracture injection test (DFIT). Then, I use the PKN model to several individual hydraulic fracture stages and interpreted the falloff data from such tests to obtain effective fracture permeability of the stimulated reservoir volumes. Finally, I evaluate the production data of legacy wells using rate transient analysis (RTA)."],"dc:format.medium":["born digital","masters theses"],"dc:identifier":["Bekbossinov_mines_0052N_12262.pdf","T 9219"],"dc:identifier.uri":["https://hdl.handle.net/11124/176497"],"dc:language":["English"],"dc:language.iso":["eng"],"dc:publisher":["Colorado School of Mines. Arthur Lakes Library"],"dc:rights":["Copyright of the original work is retained by the author."],"dc:title":["Evaluation of diagnostic fracture injection test (DFIT) and rate transient analysis (RTA) in Hereford field, northern DJ Basin"],"dc:type":["Text"],"thesis:degree_discipline":["Petroleum Engineering"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science (M.S.)"],"thesis:institution_name":["Colorado School of Mines"]},"updated_at":"2026-07-24T01:41:37Z"}