Geothermal gradient study of Asmari Formation in Dezful Embayment, Zagros, Iran

Heidarifard, Mohammad Hossein; Seraj, Mohammad; Ghalavand, Masoud Shayesteh and Hormoz

doi:10.3997/2214-4609-pdb.246.171

Cited by 1 publication

(2 citation statements)

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“…Figure 19 shows that reservoir temperature around the GOC is somehow warmer than the nominal geothermal profile. Whereas, the average regional geothermal gradient is 1.66˚F/100ft (Heidarifard et al 2008), the temperature gradient across the GOC is 0.46˚F/100ft. This implies rather uniform reservoir temperature across the GOC.…”

Section: Temperature Surveysmentioning

confidence: 96%

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Integrated fracture characterization of Asmari reservoir in Haftkel field

Khadivi

Alinaghi

Dehghani

et al. 2022

J Petrol Explor Prod Technol

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The Asmari reservoir in Haftkel field is one of the most prolific naturally fractured reservoirs in the Zagros folded zone in the southwest of Iran. The primary production was commenced in 1928 and continued until 1976 with a plateau rate of 200,000 bbl/day for several years. There was an initial gas cap on the oil column. Gas injection was commenced in June 1976 and so far, 28% of the initial oil in place have been recovered. As far as we concerned, fracture network is a key factor in sustaining oil production; therefore, it needs to be characterized and results be deployed in designing new wells to sustain future production. Multidisciplinary fracture evaluation from well to reservoir scale is a great privilege to improve model’s accuracy as well as enhancing reliability of future development plan in an efficient manner. Fracture identification and modeling usually establish at well scale and translate to reservoir using analytical or numerical algorithms with the limited tie-points between wells. Evaluating fracture network from production data can significantly improve conventional workflow where limited inter-well information is available. By incorporating those evidences, the fracture modeling workflow can be optimized further where lateral and vertical connectivity is a concern. This paper begins with the fracture characterization whereby all available data are evaluated to determine fracture patterns and extension of fracture network across the field. As results, a consistent correlation is obtained between the temperature gradient and productivity of wells, also convection phenomenon is confirmed. The findings of this section help us in better understanding fracture network, hydrodynamic communication and variation of temperature. Fracture modeling is the next step where characteristics of fractures are determined according to the structural geology and stress directions. Also, the fault’s related fractures and density of fractures are determined. Meanwhile, the results of data evaluation are deployed into the fracture model to control distribution and characteristics of fracture network, thereby a better representation is obtained that can be used for evaluating production data and optimizing development plan.

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Section: Temperature Surveysmentioning

confidence: 96%

“…Fracture network can also be characterized by pressure transient analysis (PTA). It is often distinguished by a valley shape on the pressure derivative profile on the log-log scale (Gringarten 1984). The PTA profile of well HK-056 as a typical case is shown in Fig.…”

Section: Pressure Transient Analysismentioning

confidence: 99%