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SPE36511 - 0 SPE 36511 Reservoir Characterization...

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0 SPE 36511 Reservoir Characterization Constrained to Well Test Data: A Field Example J.L. Lands. SPE. Stanford University. M.M. Kamal. SPE, and C.D. Jenkins, SPE, ARCO Ewloration and Production Teehnob~, ad R.N. Home, SPE, Stanford University COPVW 1s0s, soddy d Patmbm Engmnm, Inc. TM papa wms PMIMMIJ b pmaonldicm d Mm 199S SPE [email protected] Tochnicd Codomoa l GhMtlon M In OUWN. Cabmdo, U.SA., S-O Od&u 1= TM [email protected] was sdod: : =ti W, M SPE Ptoaram COmmittoO fdbwiig f9kiOW d [email protected] ubmdlod byt)waulhu(s). bdcobdthopaou, M ~d W ~ - ~ LV Ih9 lkidY d Perd8um EnIJrnCOm nd tb 8Ubjbd 10 O1wmlk+l &swal#h0r(9). Th9 m9tuM, aOF+wOmOd, dcund nuu8dy Iw9d my pdlbm d lb Sod8iy d Pdmloum E-, b dliim, of nmmb9rm Papwa pfaacntod at [email protected] am#Wtopubbtbn rcblcw by EdbfidCkmwMtoesaftlw Soadyd Pdmloum Enghnm. Pwn#Mon 10 oopy it rutrid.d b an aMrad d not mm. than 300 w0d8. Iwstmtiofw nuy nd b rnpkd. TM *fad should contain ccmpkxour mcknowklgrnml d wiwm ml by whomtha papu - PI-witd. Wrka Lihrmiin, SPE, P.O Son S23&3S, Flichu&am IX 7~302, U.SA., fax 01-2 14-0S2-043S. Abstract This paper presents a method to integmte well tesL production, shut-in pressure, log, core, and geological data to obtain a reservoir description fer the Pagerungan Fle14 offshefe Indonesia. The method computes spatial distributions of permeability and porosity and generates a pressure response for comparison to field data. This technique preductd a good match with well test data from three weUs and seven shut-in pressures. The permeabdity and porosity distributions also provide a reasonable explanation of the observed effects of a nearby aquifer on individual weUs. As a final step, the method is compared to an alternate technique (objeet modelling) that models the reservoir as a hvo- dimensionat channel. Introduction The Pagemngan field has been under commercial prediction since 1994. This field was chosen to test a method of integrating dynamic well data and reservoir description data because: a) the mervoir has only produced single phase gas, b) one zone in the reservoir is responsible for most of the production and c) good quality well te.sLcore, and log data are available for most weUs. The method that was used to perform the inversion of the spatial distribution of permeability and porosity uses a parameter estimation technique that @teulates the gradients of the calculated reservoir pressure response with respect to the permeability and porosity in each of the eeUs of a reservoir simulation grid. The method is a derivative of the GPST approach described in Appendices A and B. The objeuive is to find sets of distributions of permeability and ~rosity such that the cakulated response of the re-servoir close.lymatches the pressure measurements. In addition, the sets of pcrrncabitity and pxosity must satisfy certain constraints given by the geological model and by other information known about the reservoir.
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