Production Prediction and Reservoir Characterization of Fourth-Order Systems Tracts, Miocene Offshore Louisiana

C. Rassi
University of Texas at Austin, Department of Geological Sciences, Austin, TX

In this study, we try to find a relationship between sequence stratigraphy and reservoir quality because we are assuming that the former can predict production characteristics of fourth-order sequences and systems tracts. This assumption is being tested on a complete production-history data set of two mature fields, offshore Louisiana. Data from Starfak and Tiger Shoal fields include log suites, sidewall cores, and production information from ~150 wells (~270 producing zones) that have been correlated within a sequence-stratigraphic framework of fourth-order sequences and systems tracts. Noncommingled production data on cumulative and monthly production (per well and horizon), current status of well and each producing horizon, and additional information such as well tests and packer positions were available for the Miocene-age reservoir sands. These production data were correlated with the fourth-order systems tracts. Various and statistically representative data for the systems tracts (lowstand, transgressive, and highstand) are differentiated by lithological characteristics, facies associations, and production behavior. Our purpose is to link these properties to production performance, requiring an investigation of each perforated and producing zone. Several factors can influence the accuracy of this compiled information. Production rates can be affected by geological (facies, lithology) and mechanical (downhole equipment) conditions or economic reasons, varying accordingly. Our conclusion is that selected characteristics of fourth-order systems tracts can be used to predict production performance.

AAPG Search and Discovery Article #90902©2001 AAPG Foundation Grants-in-Aid