阿根廷san jorge basin
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阿根廷san jorge basin
spe paper
SPE 108065
Porosity Variations by Diagenesis in Reservoirs of the Bajo Barreal Formation, San Jorge Basin: Methodology of Evaluation With Logs
Néstor Acosta and Enrique Estrada, U. Natl. Patagonia San Juan Bosco. and Baker Hughes Argentina, and Saavedra B., Baker Hughes Argentina
Copyright 2007, Society of Petroleum Engineers
This paper was prepared for presentation at the 2007 SPE Latin American and Caribbean Petroleum Engineering Conference held in Buenos Aires, Argentina, 15–18 April 2007.
This paper was selected for presentation by an SPE Program Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material, as presented, does not necessarily reflect any position of the Society of Petroleum Engineers, its officers, or members. Papers presented at SPE meetings are subject to publication review by Editorial Committees of the Society of Petroleum Engineers. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of the Society of Petroleum Engineers is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of where and by whom the paper was presented. Write Librarian, SPE, P.O. Box 833836, Richardson, Texas 75083-3836 U.S.A., fax 01-972-952-9435.
Abstract
This work is the result of the authors’
several experiences in sandy reservoirs of clay minerals matrix in the San Jorge Basin. It is intended to highlight the advantages of the use of integrated reservoir models originated from the group of ordinary lithologic characteristics among reservoirs, their integration to sedimentary subambients inferred from logs, and high technology log data (spectral gamma ray and magnetic resonance).
The majority of the reservoirs of the Bajo
Barreal formation are volcanoclastic sandstones with porosities modified and/or reduced with burial and as diagenesis grades increase. That decrease mainly takes place due to three processes: mechanic compaction, dissolution of grains by intergranular contacts, and pore cementation.
The quantization of the compaction is
influenced by the abundance and type of lithic material. The use of technologies that make it possible to have a detailed estimate of the lithology (Spectral Gamma Rays, Lateral Impact and Rotated Cores) is of pre-eminent importance when evaluating that type of reservoirs.
The diagenetic conditions and processes directly affect porosity determination from conventional logs. This justifies the use of porosity tools that are independent from the type of material of the
reservoir rock. However, the combination of porosity data obtained in the NMR together with lithologic determinations and appropriate logs results into an interesting alternative to improve the evaluation of sandy reservoirs.
Generally, it is considered that volcanoclastic sandstones have a poor potential as oil reservoirs, because of their low porosity and permeability due to compactational processes and precipitation of authigenic mineral, such as cement. But thanks to the high reactivity of their materials with fluids from the reservoir, secondary important porosities are developed making the reservoir a high quality one. For this reason, these processes can be used to indicate the quality of volcanoclastic sandstones. The implementation of methodologies, as the ones in this work, endeavors to apply evaluation criteria of sandy reservoirs.
Introduction
It is generally considered that volcanoclastic sandstones have a poor potential as oil reservoirs because of their poor porosity and permeability due to the action of diagenetic processes related to the sandstones burial. However, it is shown that some of these types of reservoirs develop secondary porosities which turn them into high quality potential reservoirs. For this reason, processes such as compaction, grain and cement dissolution are frequently used to determine the quality reservoir in volcanoclastic sandstones.
The main goal of this characterization
methodology is to generate integrated reservoir models. These models are related to the processes mentioned above and they represent a generalization of the reservoir properties. These reservoir models are mainly generated from the use and integration of technologies such as lithological
内容需要下载文档才能查看evaluation and mineralogical tools, conventional
spe paper
2 SPE 108065
logs and data from nuclear magnetic resonance
tools.
The integration of lithological description
with data logs in a diagenetic context should be an important tool for sandstone reservoir
characterization. The systematic use of this
methodology would allow us to optimize operations related to the increase of production in developing oilfields.
Geologic Context
The San Jorge basin is located in the center
of Patagonia Argentina and covers a great area of Chubut and north of Santa Cruz provinces. Seen from above, it has an irregular shape and a marked east-west elongation.
It is situated between two high prints as the
Massifs of Deseado and Nordpatagónico which control their south flank in Santa Cruz and the north one in Chubut province (Figure 1).
Within the levels of the Chubut Group, the
Matasiete formation and its lateral equivalent D-129 Well, which is the main generating rock in the basin, are included. The main reservoirs are grouped in the formations of El Carmen Mine, Castillo and Bajo Barreal.
The inferior member of the Bajo Barreal
formation contains equivalents of subsurface which vary their names according to their position in the basin. These formations are called Comodoro Rivadavia and Cañadón Seco in the north and south flanks respectively.
During the Tertiary, extensive episodes
combined with eustatic oscillations determined a history of transgression and regression with an Atlantic inclination, which are represented by deposits from the formations Salamanca, Río Chico, Sarmiento, Patagonia and Santa Cruz 1-3.
Diagenetic Processes of Reservoirs
The main reservoirs of the basin belong to the formation Bajo Barreal and their equivalents which change their names according to their position (formations Comodoro Rivadavia and Yacimiento El Trébol oilfield for the North flank and Cañadón Seco and Espinosa Table Mountain for the South flank respectively).
The majority of these sandstone deposits which are potentially hydrocarbons reservoirs belong to a fluvial continental environment. They are land laid in the shape of channels, lobes or lens in a smaller proportion.
Figure 1. Location of San Jorge basin and its flanks (Figari et
al. 1999)
The reservoirs of the Bajo Barreal formation
are mainly volcanoclastic sandstones with reduced porosities because of burial and diagenesis increase. That decrease takes place due to three processes: mechanic compaction, dissolution of grains by intergranular contacts, and pore cementation 4.
The quantization of the compaction is
influenced by the abundance and type of lithic material. Normally, the lithic volcanic grains turn into phylosilicates by weathering or diagenesis and are partially strained in the pseudomatrix. From a physical point of view, they are very ductile materials. The relation between the soft minerals (basic or intermediate volcanic lithics, micas or clay) and hard minerals (quartz and feldspars) seems to be the first indicator of the compactional behaviour of lithic materials. From this point of view, the use of technologies that provide us with detailed lithological data (Spectral Gamma Rays, Lateral Impact and Rotated Cores) is of pre-eminent importance when evaluating the reservoirs.
The mechanic compaction and the
dissolution of grains by intergranular contact are compactional processes because they irreversibly reduce the intergranular volume of sandstone packing Fig.2. On the other hand, cementation obstructs but does not reduce the intergranular volume. The processes of mechanic and chemical compaction and cementation are important in the modification of the intergranular porosity of the reservoirs 5-6.
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spe paper
SPE 108065 Proposed Methodology
The proposal is based in the intergration of
hightech logs with a detailed analysis of all types of subsurface samples (cuttings, cores and side wall cores either rotated or impact)
In a diagenetic process analysis context, the
integration of logs for interpretation is proposed from the lithological characteristics which allow the grouping of different types of reservoirs. Tabla 1. The use of conventional electric logs is intended to identify and describe electrofacies according to criteria stablished by Serra and Abott 7 in order to integrate them to lithological studies and logs which would allow us to estimate the diagenetic processes in the reservoirs (Figure 3). It is then intended to group different indicators of reservoir quality from nuclear magnetic resonance data in order to relate them to electrofacies.
The understanding of a diagenesis model in an area provides a detailed evaluation of reservoirs as well as an excellent control to extrapolate the interpretations of the reservoir quality.
In this way, it is possible to define and group integrated models of reservoirs to generate operative applications for each reservoir.
Electrofacies Analysis
The main goal of this analysis is to interpret
the space distribution of shale layers by means of a geological model of sedimentation. The objective is to define an estimated paleoenvironmental model that provides the variation and distribution of its components.
The geological interpretation of electric logs
takes into account certain characteristics such as spontaneous potential curve shape, types of contacts, permeable thicknesses and intercalation layer number.
If we applied the concept of elemental sequences to indicate the vertical combination of electrofacies genetically related, this would represent a part of a sedimentary environment.
All these inferences and interpretations can be corrected, completed and modified by means of other additional tools. It is the example of interpretations of cores or hightech logs of resistive image resolution or plunge log, etc. Figure 4.
3
Lithologic Models of Reservoirs
The different lithologic models are
determined by the lithological, mineralogical and textural characteristics in the clasts as well as in the fine interstitial materials in the matrix. They interact with the different fluids in the reservoirs.
The petrographic studies and X ray
diffraction allow us to group similar characteristics as regards the proportion of mineral clay, cement and matrix. This generates lithological models 8-9 which can be checked and corrected by lithological logs (gamma ray spectral)
There is an areal and vertical heterogeneity
in the reservoirs of the basin. However, the observations carried out using this diagenetic analysis allow us to group characteristics into models of types of reservoirs.
Integrated Models of Reservoirs
The radioactive elements in the clays send
gamma rays with characteristic levels of energy. The tools which classify natural gamma rays in energy windows allow us to identify and quantify three main radioactive elements in the clays: Thorium, Uranium and Potassium. In other words, the level of energy of the radiation and the quantity of rays per second indicate the element involved.
On the other hand, the different minerals in
clay are characterized by a ratio Thorium/ Potassium. According to this ratio, it is possible to quantify the presence of the minerals mentioned above.
In the reservoirs in San Jorge basin the feldsparic lithic sandstones (Figure 2) have natural radioactive levels similar to the the ones in clays. If the radioactive spectrum of sandstones is analysed with a model for clays, the results could be wrong.
For this reason, in the case of these logs
care should be taken when considering the results and the type of clay should be interpreted in a geological context as a sedimentary diagenesis and depositional environment.
The acquisition of nuclear magnetic resonance provides the following petrophysics quality data rock:
- MPHS: Magnetic Total Porosity - MPHE: Magnetic Effective Porosity - MBVI: Magnetic Porosity Irreducible
Volume - MBVM: Magnetic Bulk Mobile
Volume
- Kc: Coates Permeability index
spe paper
4 SPE 108065
The reservoirs in the formation Bajo Barreal
have very different petrophysics characteristics References
1. Figari, E., Strelkov, E., Laffite, G., Cid de la Paz,
(Figure 5). These variations are probably related to the internal structure of the reservoirs which is at the same time connected with the depositional processes in their diagenesis.
The poor porosities and the high occurence
of small pores due to the clay matrix are typical characteristics in most reservoirs of the formation Bajo Barreal. Because of this, they contain high concentrations of irreducible water which decrease the effective pores of the reservoir. This type of reservoirs only produces fluids which are not sticked to the pore walls by capillarity forces. For this reason, there are effective porosity rocks with a high irreducible fluid volume that present a lower petrophysics quality than other with less effective porosity but lower fluid volume.
The types of clay in then interstitial fine part
of this reservoir play an important role in the relation between porosity associated with irreducible fluids and clay.
It is difficult to characterize the reservoirs
due to the occurence of multiple different reservoirs in each well column. However, this methodology provides a more concised characterization of reservoirs than the one from specific log data analysis.
Conclusion
This methodology integrates lithological,
mineralogical and hightech log data which allow us to estimate the location of better quality levels of reservoirs by means of an areal diagenetic model.
It is a predictive methodology because all
the elements in a sedimentary environment can be identified by indirect subsurface methods such as electric log geological interpretations, well images and/or detailed description of lithological types.
The use of these lithological integrated
models in order to understand the fluid-rock interaction system generates applications to optimize hydrocarbon recovery.
The authors would like to thank the engineer
Miguel D`onofrio who is daily sharing his knowledge on the complex reservoirs in San Jorge basin.
M., Courtade, S., Celaya, J., Vottero, A., Lafourcade, P., Martinez, R., Villar, H., 1999. Los Sistemas Petroleros de la Cuenca del Golfo San Jorge: Síntesis Estructural, Estratigráfica y Geoquímica. Boletín de Informaciones Petroleras. N° 60: 54-90. Buenos Aires.
2. Hechem, J., Homovc, J. y Figari, E. 1990.
Estratigrafía del Chubutiano (Cretácico) en la sierra de San Bernardo, Cuenca del Golfo San Jorge, Argentina. 11º Congreso Geológico Argentino. San Juan. Actas 3: 173-176.
3. Gonzalez M.; Taboada R. y Stinco L, 2002. Los
reservorios del Flanco Norte. En Schiuma, M,
4. Pitman, E.D. and R. E. Larese (991.
Compactaction of lithic sands: Experimental result and applications. American Association of Petroleum Geologist, V75, 1279-1299.
5. Estrada, E; Beaufort, D. et Meunier, A. 2006
“Apport des nouvelles méthodes de pétrographie quantitative à l’évaluation de la qualité des reservoir d’hydrocarbures. Application aux grés de la formation Bajo Barreal (Secteur ouest du bassin du Golfo San Jorge” Memoria de Universidad de Poitiers – France.
6. Estrada, E; Beaufort, D.; Meunier, A.; Sciutto,
J.C. El Albani, A. y N. Quediman 2006 “Inheritance and neogenesis of clay mineral in diagenetic volcaniclastic sandstone in the Bajo Barreal Formation (Golfo San Jorge Basin, Argentina)”. Clay Mineral Society. Workshop 2006. Poitiers. France.
7. Serra, O. y Abott, H. T, 1982. The contributions
of loggings data to sedimentology and stratigraphy. Society of Petroleum Engineers Journal, 22: 117-131
8. Acosta, N., Felippa, J. y Estrada, E., 2003.
Caracterización integrada de Reservorios en el flanco norte Cuenca Golfo San Jorge. 2º Jornadas Nacionales de Society of Professional Well Log Analysis. Taller de Evaluación de Formaciones.
9. Acosta, N. y Estrada, E. 2005 “Integración de
modelos litológicos en la caracterización de reservorios arenosos. Usos y aplicaciones en la Cuenca del Golfo San Jorge”. Congreso Geológico Argentino, La Plata.`
10. Schmidt, V. y Mc Donald, D. A, 1978. Secondary
reservoir porosity in the course of sandstone diagénesis: American Association of Petroleum Geologist Continuing Education Course Note Series 12: 125p.
11. Dominguez, H., Saavedra, B.; Corbelleri, A. y L.
Sliwinsky. 2005. Uso de resonancia magnetica nuclear para la caracterizacion de reservorios y fluidos en yacimientos de la Cuenca del Golfo San Jorge, Patagonia, Argentina. VI Congreso de Exploracion y Desarrollo de Hidrocarburos, 59-71
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