| 000 | 03665nmc a2200325 4500 | ||
|---|---|---|---|
| 005 | 20260520005440.0 | ||
| 008 | 260224s2018 xxu esp | ||
| 041 | _aEspañol | ||
| 082 | _a068.82 553.28 C62 2018 0015648 | ||
| 245 | 0 | 0 | _aNovedoso modelado petrofísico integrado de alta resolución - Un estudio de caso en la formación Vaca Muerta, Cuenca Neuquina, Argentina |
| 260 |
_a _b _c2018 |
||
| 270 | _a29/06/2022 ; 27/02/2019 | ||
| 300 | _a13 p. ; 411-424 | ||
| 520 | _aAccurate petrophysical modeling and interpretation for thinly bedded formations often requires high-resolution data usually measured in the laboratory from core samples or evaluated from a limited number of high-end logging tools such as image logs. However, core measurements are expensive and available only from a limited number of wells in a field. On the other hand, high-resolution logging tools are not sufficient to provide a comprehensive evaluation for all formation properties. Because conventional logging data are available from many wells, a high resolution petrophysical analysis combining both low-resolution and high-resolution logging data becomes very attractive.This study focuses on solving for high-resolution mineralogical compositions of the formation. A workflow has been developed with the following major steps: first, extract lithology volumetric models from high-resolution image logs combined with other conventional logs; then, allocate the modeled mineralogical compositions from lower-resolution geochemical logs into mineral compositions for various lithology types; third, obtain high-resolution mineral model; last, perform quality check by comparing the computed results with the input data.To demonstrate the method’s feasibility and applicability, the proposed workflow was used on a Vaca Muerta log example on the Loma Campana field, which has dramatic variations in mineralogy composition. The processing showed very promising results with the computed high-resolution mineral model matches with the core data. It indicates the proposed method could reproduce the mineral composition with a full vertical variability in a thin-bedded formation that would only be available with extensive core measurements. The approach presented here is able to offer an integrated, high-resolution formation evaluation for key petrophysical properties such as formation composition, permeability, and porosity. The method provides a great advantage over conventional log interpretation by revealing the full vertical variability of a formation that would otherwise appear insensitive for thin layers with limited resolution and compromised accuracy. The promising results generated from this study demonstrate the feasibility of an integrated core-level petrophysical analysis in a cost-effective and timely manner compared to conventional core measurements | ||
| 773 | _g | ||
| 942 | _cCONGTP | ||
| 100 | 1 |
_aZhang, Hao _9726 |
|
| 100 | 1 |
_aCrespo, Guillermo _9711 |
|
| 100 | 1 |
_aAlarcón, Nora _9727 |
|
| 100 | 1 |
_aLicitra, Diego _9839 |
|
| 100 | 1 |
_aHernández, Carlos _9729 |
|
| 111 | 2 |
_aCongreso de Exploración y Desarrollo de Hidrocarburos (10mo. : 2018 nov. 5 - 9 : Mendoza) _9573 |
|
| 111 | 2 |
_aSimposio de Evaluación de Formaciones (2018 nov. 5 - 9 : Mendoza) _9675 |
|
| 111 | 2 |
_aCongreso de Exploración y Desarrollo de Hidrocarburos (10mo. : 2018 nov. 5 - 9 : Mendoza) _9573 |
|
| 650 | 0 |
_aMineralogía _9840 |
|
| 650 | 0 |
_aImágenes _9841 |
|
| 650 | 0 |
_aModelo petrofísico _9842 |
|
| 999 |
_c128447 _d128447 |
||
| 856 | _uhttps://biblioteca.iapg.org.ar/ArchivosAdjuntos/Conexplor2018/SEF/1161.pdf | ||