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Anadarko Petroleum

About: Anadarko Petroleum is a based out in . It is known for research contribution in the topics: Reservoir modeling & Sedimentary depositional environment. The organization has 465 authors who have published 513 publications receiving 10354 citations. The organization is also known as: Anadarko Petroleum Corp & Anadarko Petroleum Corporation.


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Journal ArticleDOI
TL;DR: In this paper, the authors analyzed 3D seismic data in predominantly basin-floor settings offshore Indonesia, Nigeria, and the Gulf of Mexico, revealing the extensive presence of gravity-flow depositional elements.
Abstract: Analyses of 3-D seismic data in predominantly basin-floor settings offshore Indonesia, Nigeria, and the Gulf of Mexico, reveal the extensive presence of gravity-flow depositional elements. Five key elements were observed: (1) turbidity-flow leveed channels, (2) channel-overbank sediment waves and levees, (3) frontal splays or distributary-channel complexes, (4) crevasse-splay complexes, and (5) debris-flow channels, lobes, and sheets. Each depositional element displays a unique morphology and seismic expression. The reservoir architecture of each of these depositional elements is a function of the interaction between sedimentary process, sea-floor morphology, and sediment grain-size distribution. (1) Turbidity-flow leveed-channel widths range from greater than 3 km to less than 200 m. Sinuosity ranges from moderate to high, and channel meanders in most instances migrate down-system. The high-amplitude reflection character that commonly characterizes these features suggests the presence of sand within the channels. In some instances, high-sinuosity channels are associated with (2) channel-overbank sediment-wave development in proximal overbank levee settings, especially in association with outer channel bends. These sediment waves reach heights of 20 m and spacings of 2-3 km. The crests of these sediment waves are oriented normal to the inferred transport direction of turbidity flows, and the waves have migrated in an up-flow direction. Channel-margin levee thickness decreases systematically down-system. Where levee thickness can no longer be resolved seismically, high-sinuosity channels feed (3) frontal splays or low-sinuosity, distributary-channel complexes. Low-sinuosity distributary-channel complexes are expressed as lobate sheets up to 5-10 km wide and tens of kilometers long that extend to the distal edges of these systems. They likely comprise sheet-like sandstone units consisting of shallow channelized and associated sand-rich overbank deposits. Also observed are (4) crevasse-splay deposits, which form as a result of the breaching of levees, commonly at channel bends. Similar to frontal splays, but smaller in size, these deposits commonly are characterized by sheet-like turbidites. (5) Debris-flow deposits comprise low-sinuosity channel fills, narrow elongate lobes, and sheets and are characterized seismically by contorted, chaotic, low-amplitude reflection patterns. These deposits commonly overlie striated or grooved pavements that can be up to tens of kilometers long, 15 m deep, and 25 m wide. Where flows are unconfined, striation patterns suggest that divergent flow is common. Debris-flow deposits extend as far basinward as turbidites, and individual debris-flow units can reach 80 m in thickness and commonly are marked by steep edges. Transparent to chaotic seismic reflection character suggest that these deposits are mud-rich. Stratigraphically, deep-water basin-floor successions commonly are characterized by mass-transport deposits at the base, overlain by turbidite frontal-splay deposits and subsequently by leveed-channel deposits. Capping this succession is another mass-transport unit ultimately overlain and draped by condensed-section deposits. This succession can be related to a cycle of relative sea-level change and associated events at the corresponding shelf edge. Commonly, deposition of a deep-water sequence is initiated with the onset of relative sea-level fall and ends with subsequent rapid relative sea-level rise.

927 citations

Journal ArticleDOI
TL;DR: Dembicki et al. as discussed by the authors proposed a method to integrate TOC and Rock-Eval data, supplementing with pyrolysis-gas chromatography, and using burial history diagrams to help interpret vitrinite reflectance.
Abstract: Geologists are frequently called on to evaluate the source rocks associated with their exploration prospects or plays. The three most common questions asked and answered about the source rock during project reviews are What's the total organic carbon (TOC)?, What kerogen type does Rock-Eval indicate?, and What maturity level does the vitrinite reflectance data point to? The answers to these seemingly innocuous questions may, in fact, be providing a false sense of security about the source rock in question. Understanding how this line of questioning can lead you astray and make you the victim of the TOC myth (“If I have high TOC, I have a good source rock.”), the Rock-Eval fallacy (“The Rock-Eval data tell me what kind of kerogen is in my source rock.”), and the vitrinite reflectance deficiency (“Vitrinite reflectance will tell me if my source rock is generating.”) is important. Some of the solutions to these problems include fully integrating TOC and Rock-Eval data, supplementing Rock-Eval data with pyrolysis-gas chromatography, and using burial history diagrams to help interpret vitrinite reflectance. Harry Dembicki Jr. is a senior geological advisor for geochemistry in the Geological Technology Group at Anadarko Petroleum Corporation, where he provides technical support to both exploration and development teams. He holds a B.S. degree (1973) in geology from the State University College of New York at New Paltz and a Ph.D. (1977) in geology, with emphasis in organic geochemistry, from Indiana University. He previously worked as an organic geochemist for Conoco and Marathon.

377 citations

Journal ArticleDOI
TL;DR: In this paper, the authors make the case for Early Cretaceous transfer zones that segment the obliquely rifted Atlantic margin of southeastern Brazil, based on published literature, Bouguer-corrected gravity, regional reflection seismic profiles, and well data.
Abstract: We make the case for Early Cretaceous transfer zones that segment the obliquely rifted Atlantic margin of southeastern Brazil. Our interpretation is based on published literature, Bouguer-corrected gravity, regional reflection seismic profiles, and well data. In the Santos and Campos basins, Neocomian rift architecture was strongly influenced by preexisting fabric and structures of the Late Proterozoic (Brasiliano orogeny). The Atlantic margin inherited an east-northeast-west-southwest orientation so that rifting was oblique to the margin. On a regional map of Bouguer-corrected gravity, a nearshore belt of positive anomalies correlates with an interpreted broad Moho uplift in the footwall of Neocomian extensional faults. Farther offshore, a second belt of positive anomalies correlates with a presalt ridge of eroded volcanic or basement anticlines covered by thin Aptian evaporites, interpreted as a failed spreading center. Intervening negative anomalies coincide with the main rift basin. All three belts show apparent offsets along linear zones trending west-northwest-east-southeast, which we interpret as transfer zones. The vergence of half rifts tends to change across transfer zones, compartmentalizing the rifted margin into subbasins. Our results have implications for the risks associated with distribution, maturation, and migration of hydrocarbons within the prolific Early Cretaceous lacustrine petroleum system of the Campos and Santos basins.

341 citations

Journal ArticleDOI
TL;DR: In this paper, an artificial-neural-network-based wind power forecaster and the integration of wind forecast results into unit commitment scheduling considering forecasting uncertainty by the probabilistic concept of confidence interval are discussed.
Abstract: The development of wind power generation has rapidly progressed over the last decade. With the advancement in wind turbine technology, wind energy has become competitive with other fuel-based resources. The fluctuation of wind, however, makes it difficult to optimize the usage of wind power. The current practice ignores wind generation capacity in the unit commitment (UC), which discounts its usable capacity and may cause operational issues when the installation of wind generation equipment increases. To ensure system reliability, the forecasting uncertainty must be considered in the incorporation of wind power capacity into generation planning. This paper discusses the development of an artificial-neural-network-based wind power forecaster and the integration of wind forecast results into UC scheduling considering forecasting uncertainty by the probabilistic concept of confidence interval. The data from a wind farm located in Lawton City, OK, is used in this paper.

252 citations


Authors

Showing all 465 results

NameH-indexPapersCitations
Henry W. Posamentier417913811
Ping Lu402155568
Ron Harris28813457
Tarek Ahmed252163804
Richard F. Sigal22531794
Jay Alan Rushing22401758
Elyezer Lolon19243273
Kent Edward Newsham17291558
Nikhil Joshi1430707
Yuxing Ben13251152
Scott J. Wilkins1224681
R.B. Sullivan1225558
Tim Dean1279610
Sathish Sankaran1241428
Cristian Carvajal1010697
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
20211
20208
201930
201824
201724