Reservoir prediction in a development area with a high-density well pattern using seismic sedimentology: An example from the BB2 block, Changyuan LMD oil field, Songliao Basin, China

2015 ◽  
Vol 3 (3) ◽  
pp. SS87-SS99 ◽  
Author(s):  
Shunguo Cheng ◽  
Yan Jiang ◽  
Jie Li ◽  
Cao Li ◽  
Yanhui Wang ◽  
...  

The Daqing Changyuan oil field is primarily composed of large, fluvial-deltaic thin sandstones and shales with a high degree of heterogeneity. Over the past 50 years of development, the geologic study of this reservoir has relied on a large amount of well-log data in the field. However, a detailed reservoir description based only on wireline-log data cannot meet the requirements of oil field development. There is still some uncertainty about the sand boundary and geometry, due to reliance only on data from fields with an average density of approximately [Formula: see text]. Such uncertainty may severely affect the potential for producing the remaining oil in these mature oil fields. In this study, seismic-sedimentology guided reservoir prediction is examined in an area of dense wells in BB2 block in the Changyuan LMD oil field. The spatial distribution of channel-sand bodies was identified and recognized by facies analysis, sandstone thickness mapping, and seismic stratal slicing of reservoir units, using the principles and methods of seismic sedimentology. The results showed that the seismic amplitude can be correlated to log lithologies. The interpretation of sandstone can be improved by 90°-phase seismic data, and the distribution of channel sand with a thickness greater than 5 m can be directly predicted. The identification and prediction of the boundaries of channel-sand bodies are thus improved. The results have proved useful in new infill drilling and reperforations.

2010 ◽  
Author(s):  
Wathiq Jassim Mohammed Al-Mudhafer ◽  
Mohammed Saleh Al-Jawad ◽  
Dunia Abdulshaib Abdu Al-Shamma

2003 ◽  
Vol 20 (1) ◽  
pp. 291-304 ◽  
Author(s):  
Simon Kay

abstractThe Heather oil field is located in Block 2/5 in the Northern North Sea. Oil is produced from sandstones of the Middle Jurassic Brent Group. at depths between 9500ft and 11600 ft below sea level. The field has been in production for over 20 years, and to date 120 MMSTB of oil have been produced out of an oil-in-place volume of 464 MMSTB. Although approaching non-commercial flow rates, an ambitious programme of field re-evaluation has been conducted since 1997 to identify remaining infill potential, and to investigate the development potential of satellite accumulations. New 3D seismic surveys shot in 1995 and 1997 have been combined to produce a continuous top reservoir map of the main field and adjacent satellite structures. The new mapping and an updated reservoir description were integrated with reservoir simulation models to identify zones of unswept oil. Main field infill projects have been identified which target the unswept oil, allowing extension of field life to be planned in conjunction with satellite field development. An additional 57 MMSTB of recoverable oil are expected to be produced from Middle Jurassic reservoirs in the main field and in satellite areas.


2021 ◽  
Vol 236 ◽  
pp. 03014
Author(s):  
Ji Xianwei

During the sedimentary period of Saertu reservoir on the western slope of the northern Songliao basin, delta front and shore-shallow lake subfacies are mainly developed, which have the characteristics of few sandstone layers and thin single layer thickness. The lithology of thin layer or thin interlayer can not be distinguished clearly by seismic response on conventional seismic section, and it is difficult to identify them. Geophysical response characteristics of channel sand bodies are defined by well-seismic combination. Under the guidance of seismic sedimentology, the qualitative and quantitative prediction of channel sand bodies is carried out by using 90°-phase conversion, stratal slicing and waveform indication inversion techniques. The results show that the seismic reflection axis is symmetrical with respect to the top and bottom surface of sandstone, and the channel sand body has obvious characteristics and completely corresponds to wave peak reflection. The channel bodies of S1 and S23 reservoir formation are separated respectively into two stages by using the amplitude attributes of stratal slices, and the coincidence rate of reservoir prediction to wells is 78%~84%, with an average of 79.7%. The waveform indicator inversion technique is used to predict the channel sand body thickness of the four stages, and the error of sand body thickness to well is 0~1.6m, with an average of 0.32m.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Liang Zhang ◽  
ZhiPing Li ◽  
Hong Li ◽  
Caspar Daniel Adenutsi ◽  
FengPeng Lai ◽  
...  

The optimization of oil field development scheme considering the uncertainty of reservoir model is a challenging and difficult problem in reservoir engineering design. The most common method used in this regard is to generate multiple models based on statistical analysis of uncertain reservoir parameters and requires a large number of simulations to efficiently handle all uncertainties, thus requiring a huge amount of computational power. In order to reduce the computational burden, a method which combines reservoir simulation, an economic model, polynomial chaos expansion with response surface methodology, and Levy flight particle swarm optimization (LFPSO) algorithm is proposed to determine the optimal injection-production parameters with reservoir uncertainties at a reasonable computational cost. This approach is applied to a five-spot well pattern optimization design for obtaining the optimal parameters, including oil-water well distance, injection rate, and bottom hole pressure, while considering the uncertainties of porosity, permeability, and relative permeability. The results of the case study indicated that the integrated approach is practical and efficient for performing reservoir optimization with uncertain reservoir parameters.


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