INTEGRATED PETROLEUM RESERVOIR CHARACTERIZATION. THE CASE OF ZHAO57 BLOCK (Es4 + EK1)
Abstract
This paper put forward the result of a case studied from a reservoir characterization carried out on Es4+Ek1 reservoir of the Zhao57 block, Zhaozhouqiao oil field, Hebei Province, China. The objective of the study was to accurately create a reservoir model of the oil field and use it to forecast oil and gas production. To achieve this, we characterized the formation by applying integrated geologic and engineering data for the purpose of providing insight understanding of controls on oil and gas production. The formation was first divided into seven groups and fifty four small layers, followed by stratigraphic correlations and quantification of sand thickness. The fifth group was found to be the main oil bearing formation, its top mainly comprise of siltstone while the middle and the bottom comprise mainly of thick layer of massive sand. Sandstone density presents decreasing trend from northwest to south east. Structure model on the fifth group depicts a series of faulting which is believed to be a contributing factor on oil and gas distribution in the group. Average porosity on the fifth group is found to be 7.54%, average permeability is as low as 2.6mD and reserve estimation recorded a value of 82.5364x104t with the V-12 and V-13 layers showing the highest reserve. Result derived from this study will no doubt be useful in respect of further development of the field especially during secondary and tatiary recoveries.
References
Babadagli Tayfun, “Development of Matured oil fields” Paper, Journal of Petroleum science and Engineering 57 (2007) 221-246. Doi: 10.1016/j.petrol.2006.10.006
Bahar and M. Kelkar “Journey From Well Logs/Cores to Integrated Geological and Petrophysical Properties Simulation: A Methodology and Application” SPE (66284) Reservoir Eval. & Eng., Vol. 3, No. 5, October 2000
Burno JP,Gerard J,Massonat “Impact of petrophysical cut offs in reservoir Models” SPE (91040) Annual technical conference and exhibition held in Houston Texas, USA, 26 – 29 September 2004
Christoforos Benetatos and Dario Viberti “Fully Integrated Hydrocarbon ReservoirStudies: Myth or Reality?” American Journal of Applied Sciences 7 (11): 1477-1486, 2010, ISSN 1546-9239
Cosentino, L; Integrated reservoir studies. Editions Technip., ISBN: 2-7108-0797-1, pp: 310, 2001
Cooke-Yarborqugh, P. (1984). Reservoir analysis by wireline formation tester: pressures, permeabilities, gradients and net pay. The Log Analyst.15(6): 36-46.
Deakin, M. and Manan, W. (1998). The integration of petrophysical data for the evaluation of low contrast pay.Society of Petroleum Engineers. Asia Pacific Conference on Integrated Modelling for Asset Management, Kuala Lumpur, Malaysia: 327-339.
J.-P. Rolando, “From Well Data to 3D Models: Determination of the Critical Path in the Process of Characterization of Reservoirs”SPE (4928) Presented at the annual technical conference and exhibition presented in New Orleans, Luisiana, United states. 27 – 30 September 1998
Jensen, J.L. and Menke, J.Y. (2006). Some statistical issues in selecting porosity cutoffs for estimating net pay. PetroPhysics. 47(4): 315–320.
Liu, L. and Yager, R., 2008. Classic Works of the Dempster Shafer Theory of Belief Functions: An Introduction. In: R. Yager and L. Liu (Editors), Classic Works of the Dempster Shafer Theory of Belief Functions. Studies in Fuzziness and Soft Computing. Springer Berlin Heidelberg, pp. 134.
Mahbaz, S.,Sardar,H.,Namjouyan, M.and Mirza ahmadian, Y., 2011. Optimization of reservoir cut off parameters: a case study in SW Iran. Petroleum Geoscience, 17(4):355363.
Masoudi, P., Tokhmechi, B.,_Ansari Jafari, M., Zamanzadeh, S.M. and Sherkati, S., 2012a. Application of Bayesian in determining productive zones by well log data in oil wells. Journal of Petroleum Science and Engineering, 94–95(0): 47 54.
Masoudi, P., Tokhmechi, B., Bashari, A. and Jafari, M.A., 2012b. Identifying productive zones of the Sarvak formation by integrating outputs of different classification methods. Journal of Geophysics and Engineering, 9(3): 282 290.
Masoudi,P., Tokhmechi, B., Jafari, M.A. and Moshiri,B.,2012c. Application of Fuzzy Classifier Fusion in Determining Productive Zones in Oil Wells. Energy Exploration and Exploitation, 30(3): 403 415
P. Masoudi., etal. “Developing a method for identification of net zones using log data and diffusivity equation” Journal of Mining &Environment,Vol.2, No.1, 2011, 53-60.
Masoudi, P., 2013. Identifying Net Pay Zones in Oil Wells by Artificial Neural_ Network and Dempster Shafer Theories. In: I.P.G.O. Patent Division, State Organization for Registration of Deeds and Properties (Editor),Iran.
Mathur, N., Raju, S.V. and Kulkarni, T.G. (2001). Improved identification of pay zones through integration of geochemical and log data: a case study from upper Assam basin, India. AAPG Bulletin. 85(2): p. 309-323.
Mostafazadeh, M.,Mousavi, S. A., Ghadami, N. and Aghdasinia, H. (2010). The productivity estimation of designed horizontal oil and gas wells before a drilling operation, using seismic and petrophysical parameters and modeling. Petroleum Science and Technology. 28(18): 1863-1877.
Octavian Catuneanu, “Sequence stratigraphy of clastic systems; concept, merits and pitfalls” papar, journal of African earth science 35(2002)1-43. PII: S0899-5362(02)00004-0 www.elsevier.com/locate/jafrearsci
Pedram Masoudi, Bita Arbab, Hossein Mohammad Rezaei ‘Net Pay Determination by Dempster Rule of Combination, Case Study on Iranian Offshore Oil Fields” PETROL2725., Journal of Petroleum Science and Engineering., PII:S0920-4105(14)00212-5 DOI: http://dx.doi.org/10.1016/j.petrol.2014.07.014
Singleton, S. (2008). The use of seismic attenuation to aid simultaneous impedance inversion in geophysical reservoir characterization. The Leading Edge. 27(3): 398-407.
Snyder, R.H. (1971). A review of the concepts and methodology of determining "net pay". in Fall Meeting of the Society of Petroleum Engineers of AIME1971, New Orleans, Louisiana
Svec, R.K. and Grigg, R.B. (2000). Reservoir characterization and laboratory studies assessing improve oil recovery methods for the Teague-Blinebry field.Society of Petroleum Engineers.SPE Permian Basin Oil and Gas Recovery Conference, Midland, Texas.
Worthington, P.F. (2000). Recognition and evaluation of low-resistivity pay. Petroleum Geoscience. 6(1): p. 77-92.
Worthington, P.F. and CosentinoL. (2005). The role of cut-offs in integrated reservoir studies. SPE Reservoir Evaluation & Engineering. 8(4): 276-290.
Worthington, P.F. (2008). The application of cutoffs in integrated reservoir studies. SPE Reservoir Evaluation & Engineering,. 11(6): 968-975.
Worthington, P.F. (2010). Net pay-what is it? What does it do? How do we quantify it? How do we use it? SPE Reservoir Evaluation & Engineering. 13(5): 812-822.
Xu Anna etal “Integrated description and evaluation of reservoirs based on seismic, logging, and geological data: Taking Dongying Formation Member 1 oil reservoir of No. 1 structure, Nanpu Sag as an example” PETROL. EXPLOR. DEVELOP. 2009, 36 (5): 541–551.
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