A practical workflow for performance prediction of low permeability reservoirs (Record no. 190140)

MARC details
000 -LEADER
fixed length control field 03139nmc a2200181 4500
008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL
Campo de control de longitud fija 260224s xxu
082 ## - CLASIFICACIÓN DEWEY
Número de clasificación PD I116 3 0015570
100 1# - RESPONSABLE PERSONAL
Apellido, Nombre Golko, Steven J.
9 (RLIN) 56280
111 2# - AUTORIDAD DE CONGRESO
Nombre de congreso Congreso de Producción y desarrollo de reservas de hidrocarburos (6to : 2016 oct. 24 al 27: Bariloche, Argentina)
9 (RLIN) 55815
245 00 - TITULO
Título A practical workflow for performance prediction of low permeability reservoirs
270 ## - FECHA DE CARGA
Fecha de carga 5/6/2019 ; 20/03/2017
300 ## - DESCRIPCION FISICA
Otra extensión 25 p.
520 ## - RESUMEN, ETC
Resumen The Society of Petroleum Evaluation Engineers (SPEE) recently released Monograph 4, "Estimating Ultimate Recovery of Developed Wells in Low-Permeability Reservoirs"(hereinafter called "Monograph 4". This paper outlines a practical engineering workflow enabling companies to evaluate unconventional plays developed with horizontal multi-stage fractured wells consistent with the principles summarized in Monograph 4. This workflow has many applications including assessing potential acquisitions, defining new plays, evaluating competitor results, corporate budget processes, long term business planning, portfolio management, or reserves certification. The workflow is based on the recognition that reservoir performance and reservoir behavior are two separate things. Reservoir behavior is driven by the rock and fluid properties (fluid type, permeability, relative permeability, compressibility, PVT data, etc), and can be largely characterized by the decline exponent, or shape of the curve. Within an area exhibiting similar reservoir behavior, we see variations in reservoir performance, which can be associated to many factors including completion type, completion effectiveness, and minor variations in reservoir quality within the area. The workflow begins with determining "geologic bins" within the study area (based on similar reservoir behavior), then assessing the production performance exhibited by wells within the bin. Standard empirical decline curve analysis (DCA), using a two-segment Arps equation, is employed to estimate (1) a representative decline exponent in the initial transient flow period, (2) the time to boundary dominated flow, and (3) a representative decline exponent in the boundary dominated flow period. This initial assessment of reservoir behavior is followed by further segregation of the wells into "performance bins" respecting local variations in reservoir quality affecting productivity and estimated ultimate recovery. Typical production performance profiles (type curves) are created for each of the performance bins. The type curves are used to forecast the future production for existing wells and future development. This workflow has been developed and refined over several years, and has been tested in large scale applications. Two case studies are presented demonstrating the capabilities of the process. A third example is referred to throughout the paper to illustrate the principles and procedures.
856 ## - LINK
Link <a href="https://biblioteca.iapg.org.ar/ArchivosAdjuntos/Congreso-de-produccion/6to/900.pdf">https://biblioteca.iapg.org.ar/ArchivosAdjuntos/Congreso-de-produccion/6to/900.pdf</a>
942 ## - DESC. DE MATERIAL
Tipo de item KOHA Congresos (trabajos presentados)
Fuente de clasificación Dewey Decimal Classification
Holdings
Biblioteca propietaria Biblioteca actual Ubicación Fecha de adquisición Inventario Total de préstamos Signatura topográfica Inventario Fecha de carga Tipo de item KOHA
IAPG-Colección IAPG-Colección PD I116 3 0015570 06/03/2026 200062388   PD I116 3 0015570 200062388 06/03/2026 Archivo electrónico


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