scholarly journals Reservoir quality and petrophysical model of the Tarn deep-water slope-apron system, North Slope, Alaska (presentation): AAPG Pacific Section Meeting, Anchorage, Alaska, May 8, 2006

2006 ◽  
Author(s):  
K. P. Helmold ◽  
W. J. Campaign ◽  
W. R. Morris ◽  
D. S. Hastings ◽  
S. R. Moothart
Keyword(s):  
Deep Water ◽  
North Slope ◽  
Reservoir Quality ◽  
Section Meeting ◽  
Petrophysical Model

The Influence of Main Factors on Deepwater Sediments

2021 ◽  
Author(s):  
Anton Khitrenko ◽  
Adelia Minkhatova ◽  
Vladimir Orlov ◽  
Dmitriy Kotunov ◽  
Salavat Khalilov
Keyword(s):  
Sequence Stratigraphy ◽  
Deep Water ◽  
Western Siberia ◽  
Reservoir Characterization ◽  
Water Reservoir ◽  
Shelf Break ◽  
Sediment Supply ◽  
Reservoir Quality ◽  
Geological Uncertainty ◽  
Forced Regression

Abstract Western Siberia is a unique petroleum basin with exclusive geological objects. Those objects allow us to test various methods of sequence stratigraphy, systematization and evaluation approaches for reservoir characterization of deep-water sediments. Different methods have potential to decrease geological uncertainty and predict distribution and architecture of deep-water sandstone reservoir. There are many different parameters that could be achieved through analysis of clinoform complex. Trajectories of shelf break, volume of sediment supply and topography of basin influence on architecture of deep-water reservoir. Based on general principles of sequence stratigraphy, three main trajectories changes shelf break might be identified: transgression, normal regression and forced regression. And each of them has its own distinctive characteristics of deepwater reservoir. However, to properly assess the architecture of deepwater reservoir and potential of it, numerical characteristics are necessary. In our paper, previously described parameters were analyzed for identification perspective areas of Achimov formation in Western Siberia and estimation of geological uncertainty for unexplored areas. In 1996 Helland-Hansen W., Martinsen O.J. [5] described different types of shoreline trajectory. In 2002 Steel R.J., Olsen T. [11] adopted types of shoreline trajectory for identification of truncation termination. O. Catuneanu (2009) [1] summarize all information with implementation basis of sequence stratigraphy. Over the past decade, many geoscientists have used previously published researches to determine relationship between geometric structures of clinoforms and architecture of deep-water sediments and its reservoir quality. Significant amount of publications has allowed to form theoretical framework for the undersanding sedimentation process and geometrical configuration of clinoforms. However, there is still no relationship between sequence stratigraphy framework of clinoroms and reservoir quality and its uncertainty, which is necessary for new area evaluation.

Diagenesis and reservoir quality evolution of palaeocene deep-water, marine sandstones, the Shetland-Faroes Basin, British continental shelf

2008 ◽  
Vol 25 (6) ◽  
pp. 514-543 ◽  
Author(s):  
H. Mansurbeg ◽  
S. Morad ◽  
A. Salem ◽  
R. Marfil ◽  
M.A.K. El-ghali ◽  
...  
Keyword(s):  
Continental Shelf ◽  
Deep Water ◽  
Reservoir Quality

scholarly journals QFL AND LITHO FACIES: PREDICTING RESERVOIR QUALITY OF THE MIDDLE MIOCENE DEEP-WATER FACIES AT KUTEI AND NORTH MAKASSAR BASINS

2021 ◽  
Vol 36 (1) ◽  
Author(s):  
Kuntadi Nugrahanto Nugrahanto ◽  
Ildem Syafri ◽  
Budi Muljana
Keyword(s):  
Deep Water ◽  
Late Miocene ◽  
Middle Miocene ◽  
Side Wall ◽  
High Energy ◽  
Reservoir Quality ◽  
Burial Depth ◽  
Rock Samples ◽  
Water Facies

As we may all be aware the oil and gas wellbores offshore Kutei and North Makassar have not optimally penetrated the objective strata, which is the Middle Miocene’s deep-water reservoirs.  Therefore, evaluating the quality of these reservoirs with onshore dataset then comparing them with the proven Late Miocene’s deep-water producing reservoirs had been very fundamental.  The study focuses on the assessment of QFL and sandstones litho-facies based on the rock samples from conventional-core and side-wall core, and well-logs data from forty wells onshore and offshore.  These rock samples are bounded by the key biostratigraphy intervals of M40M33, M45M40, M50M45 (Middle Miocene), and M65M50, M66M65, M70M66, M80M70 (Late Miocene).  Subdivisions of the reservoirs considered the sandstone litho facies, NTG ratio, sorting, and grain size, to come up with five groups in the Middle Miocene deltaic facies: FLU_SX, DC_SX, DC_SM, DC_SM, and DF_SC; and four groups in the Late Miocene deep-water facies: SSWS, MSWS, SSPS, and MSPS.  Core-based porosity and permeability further explain the relationship between the reservoir quality with the sandstones’ composition and litho facies, and concluded that high-energy depositional system is mainly associated with the FLU_SX, DC_SX, SSWS and MSWS being the reservoir with best quality.  Oppositely, the DF_SC, SSPS, and MSPS are classified the reservoir with worst to none quality.  A cross plot between core-based porosity and maximum burial depth is able to postulate the relational trend of decreasing reservoir quality with deeper depth.

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