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The Carbonate
Analogs Through
Time
(CATT) Hypothesis – A Systematic and Predictive Look at
Phanerozoic Carbonate Reservoirs:
Extended Abstract*
By
James R. Markello1, Richard B. Koepnick2, and Lowell E. Waite3
Search and Discovery Article #40185 (2006)
Posted February 6, 2006
*Editorial Note: Modified from extended abstract prepared for presentation at
AAPG Annual Convention,
1ExxonMobil Upstream Research Company, Houston, TX ([email protected])
2Qatar Petroleum, Doha, Qatar ([email protected])
3Pioneer Natural Resources USA, Inc., Dallas, TX ([email protected])
Introduction
The Carbonate Analogs Through
Time
(CATT) Hypothesis defines an approach for
developing systematic evaluations and predictive models of Phanerozoic carbonate
systems and reservoirs for use in upstream exploration, development, and
production businesses. Three applications are illustrated in this extended
abstract: 1. age-based pattern development, 2. comparative reservoir analysis,
and 3. analog selection.
Exploration
geoscientists employ a host of established and successful concepts, tools, and
data to develop predictive models for field/reservoir occurrence and quality.
However, as exploration successes decrease, alternative approaches are needed to
refresh the exploration mindset. We present the CATT approach as a hypothesis
and as an alternative mindset for carbonate reservoir exploration. The geologic
age-based concepts and products provide thought-provoking perspectives on known
carbonate reservoir occurrences and offer a different way of thinking about
predicting where undiscovered carbonate reservoirs may exist. At the very least,
our Carbonate Analogs Through
Time
hypothesis provides a framework or context
within which to insightfully and schematically organize all of the concepts,
facts, and carbonate reservoir case studies/examples one encounters throughout a
career, and it can be used as an approach for comparative analysis of systems.
Reservoir engineers require detailed geologic-based reservoir parameters for
simulations of reservoir/field performance. Such simulations form the bases for
field development/depletion plans that invoke huge capital and operating
expenses. Thus, it is imperative to provide the best possible input to
simulation so that capex and opex investments are optimal. Typically, the input,
if not derived directly from data collected within a field under development,
has been gathered or derived from “analog” fields. Thus, choosing the most
appropriate analog is a critical task. We contend that the CATT approach
provides the conceptual basis for choosing the most appropriate analogs.
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CATT HypothesisThe CATT hypothesis simply stated is: “Insightful, high-confidence, age-specific predictive models for carbonate systems and reservoir occurrence, composition, stratal attributes, and reservoir properties can be developed by summing the ambient conditions of the carbonate processes and Earth processes at any geologic age.” We term these models age-sensitive patterns or themes.
The hypothesis is built upon the cumulative body of knowledge that
demonstrates carbonate and Earth processes have differentially varied
throughout Phanerozoic
Age-Based Pattern Development
An example of developing an “age-sensitive pattern” or “
Comparative Reservoir Analysis
Sometimes there are significant differences between carbonate systems
and reservoirs within a geologic
Analog SelectionDemonstration of the utility of these tools for analog selection is illustrated by explaining the heritage-Mobil example of farming-into Tengiz Field in the mid-1990’s. Farming into or buying equity in a field under development requires knowledge of field value (working-interest EUR) and some measure of investment return. Typically, these numbers are derived by simulation. Thus, we were consulted by Mobil engineers as to the best analog for data to input into a Tengiz simulation. Would Arun Field in Indonesia be okay? Our answer was absolutely not! Based on our CATT approach, the best analogs would be age-equivalent fields nearby in the Volga-Ural trend or in North America (either Pennsylvanian-age Salt Creek Field, Permian Basin, or the Devonian fields in western Canada) (Figure 5). Our rationale was that better similarities existed between age equivalent systems due to similar biota, mineralogy, long term climate (Late Devonian greenhouse to Mississippian transitional to Pennsylvanian icehouse), carbonate factory and profiles – isolated platforms, and diagenesis – exposure meteoric processes rather than overwhelming dolomitization. Although Arun is a Miocene (icehouse climate) isolated platform, it consists of Neogene scleractinian-dominated framework biota, with abundant microporosity. Also, reservoir fluids are gas-condensate. Tengiz is also an isolated platform, but is Mid-Late Paleozoic (greenhouse to icehouse conditions) and consists of tabulate, rugosan corals and stromatoporoids, similar to the Late Devonian reservoirs in Caroline and the Rainbow fields of western Canada. The Lower Pennsylvanian section contains abundant ooids with moldic porosity. This is very similar to the Salt Creek Field. Although Tengiz Field has some karst porosity, it does not appear to be as extensive as the Mid Cretaceous Golden Lane Field of Mexico. Further, greenhouse Cretaceous rudist communities and associated grainstones typically have very different stratigraphic architecture from icehouse Carboniferous systems. Walker Creek and Jay fields are greenhouse attached ramp systems in the Gulf of Mexico with well developed oomoldic porosity; however the strata are extensively dolomitized unlike the Tengiz feature. Slaughter Field is Late Permian age and is located on the attached Northwest Shelf of the Permian basin. The reservoir units in the San Andres formation are totally dolomitized and have very different pore structures and rock properties.
Research Idea
This
research idea was conceived in 1991 at Mobil Research. Many Mobil
geoscientists contributed to the maturing of the idea and to the
development of the CATT products, especially the Mobil Global Themes
Project team (detailed Global Paleogeographic . |

