scholarly journals Applied seismic attribte to study the distribution of sandstone reservoirs of D sequence, upper Oligocene sediments, CT field, Cuu Long basin

2021 ◽  
Vol 62 (5) ◽  
pp. 55-66
Author(s):  
Oanh Thi Tran ◽  
Anh Ngoc Le ◽  
Khanh Duy Pham ◽  
Ngan Thi Bui ◽  
Ngoc Bao Pham ◽  
...  
Keyword(s):  
Sedimentary Facies ◽  
High Amplitude ◽  
Rock Properties ◽  
Seismic Attribute ◽  
Attribute Analysis ◽  
Study Results ◽  
North Eastern ◽  
Western Block ◽  
Well Data ◽  
Sand Bodies

In this paper, the seismic attribute analysis methods in combination with well data were used to predict the distribution of the D sequence. A seismic attribute is any measurement of seismic data that enhances the visibility or quantification of geological elements or rock properties to determine the structure or depositional environment of sediment. The authors have selected the basic attributes, which are related to amplitude and frequency such as RAI, RMS, ARC length, Specdecom, Sweetness attribute. The attributes reflect quite accurately the changes in lithology, sedimentary facies, etc. from which will be possible to predict the distribution of the sand bodies. There are 02 large reservoirs discovered in the D sequence: the main reservoirs (D0 -D3) sands and minor reservoirs (D4 - D10). The study results show that the main reservoirs from D0 to D3 are widely distributed in the study area, especially in the western block and near the Con Son swell (except A well due to erosion process). Meanwhile, the reservoirs from D4 to D10 are of discontinuous distributions. Zones of high amplitude anomalies that are likely related to volcanic sediments in the study area are also delineated. The seismic attribute analysis reveals the possible distribution of high potential sand bodies (D2-D3) in the south-western and north-eastern parts that need further study.

Predict Channel Sand Body Distribution Characteristics of South Eighth District Based on RMS Amplitude Attributes & Frequency Division

2013 ◽  
Vol 734-737 ◽  
pp. 404-407 ◽  
Author(s):  
Yu Shuang Hu ◽  
Si Miao Zhu
Keyword(s):  
Seismic Data ◽  
Physical Property ◽  
Sedimentary Facies ◽  
Distribution Area ◽  
Frequency Division ◽  
Root Mean Square Amplitude ◽  
Seismic Attribute ◽  
Body Distribution ◽  
Attribute Analysis ◽  
Sand Body

A big tendency in oil industry is underestimating the heterogeneity of the reservoir and overestimating the connectivity, which results in overly optimistic estimates of the capacity. With the development of seismic attributes, we could pick up hidden reservoir lithology and physical property information from the actual seismic data, strengthen seismic data application in actual work, to ensure the objectivity of the results. In this paper, the channel sand body distribution in south eighth district of oilfield Saertu is predicted through seismic data root-mean-square amplitude and frequency division to identify sand body boundaries, predict the distribution area channel sand body characteristics successfully, which consistent with the sedimentary facies distribution. The result proves that seismic attribute analysis has good practicability in channel sand body prediction and sedimentary facies description.

Application of post-stack Rune Inversion for reservoir rock properties estimation in comparison with conventional seismic attribute analysis: a case study from the Paleocene formation, Middle Indus basin, onshore Pakistan

First Break ◽  
2020 ◽  
Vol 38 (7) ◽  
pp. 49-55
Author(s):  
Muhammad Zahid Afzal Durrani ◽  
Maryam Talib ◽  
Vita Kalashnikova ◽  
Musharaf Sajjad ◽  
Rune Øverås ◽  
...  
Keyword(s):  
Reservoir Rock ◽  
Indus Basin ◽  
Rock Properties ◽  
Seismic Attribute ◽  
Attribute Analysis

Use of novel high-resolution 3D marine seismic technology to evaluate Quaternary fluvial valley development and geologic controls on shallow gas distribution, inner shelf, Gulf of Mexico

2016 ◽  
Vol 4 (1) ◽  
pp. SC35-SC49 ◽  
Author(s):  
Timothy A. Meckel ◽  
Francis J. Mulcahy
Keyword(s):  
High Resolution ◽  
Gulf Of Mexico ◽  
Peak Frequency ◽  
High Amplitude ◽  
Structural Features ◽  
Inner Shelf ◽  
Sediment Delivery ◽  
Seismic Attribute ◽  
Meandering Channel ◽  
Attribute Analysis

The first deployment of the P-Cable™ high-resolution 3D (HR3D) seismic acquisition system in the Gulf of Mexico has provided unprecedented resolution of depositional, architectural, and structural features related to relative sea-level change recorded in the Quaternary stratigraphy. These details are typically beyond conventional 3D seismic resolution and/or excluded from commercial surveys, which are generally optimized for deeper targets. Such HR3D data are valuable for detailed studies of reservoir analogs, sediment delivery systems, fluid-migration systems, and geotechnical hazard assessment (i.e., drilling and infrastructure). The HR3D survey ([Formula: see text]) collected on the inner shelf ([Formula: see text] water depth) offshore San Luis Pass, Texas, imaged the upper 500 m of stratigraphy using peak frequency of 150 Hz and [Formula: see text] bin size. These data provided an exceptionally well-imaged example of shallow subsurface depositional system and stratigraphic architecture development during a lowstand period. The system evolved from a meandering channel with isolated point-bar deposits to a transgressive estuary characterized by dendritic erosional features that were eventually flooded. In addition, HR3D data have identified a previously unidentified seismically discontinuous zone interpreted to be a gas chimney system emanating from a tested (drilled) nonproductive, three-way structure in the lower Miocene (1.5 km depth). Within the shallowest intervals ([Formula: see text]) and at the top of the chimney zone, seismic attribute analysis revealed several high-amplitude anomalies up to [Formula: see text]. The anomalies were interpreted as reaccumulated thermogenic gas, and their distribution conforms to the stratigraphy and structure of the Quaternary interval, in that they occupy local fault-bounded footwall highs within remnant coarser-grained interfluvial zones, which are overlain by finer grained, transgressive deposits.

The Application of Facies Modeling Combination of Well Data and Seismic Data in G25-12 Block

2015 ◽  
Vol 733 ◽  
pp. 92-95
Author(s):  
Jia Hui Wang ◽  
Hong Sheng Lv
Keyword(s):  
Sedimentary Facies ◽  
Distribution Law ◽  
Skeleton Model ◽  
Facies Model ◽  
Body Distribution ◽  
Sand Body ◽  
Geological Conditions ◽  
Single Well ◽  
Well Data ◽  
Sand Bodies

The main purpose of lithofacies modeling is to get the actual reservoir lithofacies skeleton model which is maximum approximation of the underground reservoir. The facies model can effectively solve the problem of predicting sand bodies between wells. At the same time, we still use the stochastic modeling method to build the facies model of unconstrained single well simulation and sedimentary facies controlled constrained simulation. We elected the model which is most consistent to the actual geological conditions, providing theoretical guidance for characterizing the interwell sand body distribution law and improving the accuracy of predicting sand bodies between wells, laiding the foundation for further exploration and development of oil reservoir.

Integration of seismic attribute analysis and well data to identify depositional trends: A case study from Kuwait

2008 ◽  
Author(s):  
Srinivasa Rao Narhari ◽  
Mohamed Dawaas Al‐Ajmi ◽  
Saifullah Khan Tanoli ◽  
Bashar Al‐Qadeeri
Keyword(s):  
Seismic Attribute ◽  
Attribute Analysis ◽  
Well Data

Application to Sedimentary Facies Identification Used RGB Fusion Imaging in Multi-Attribute

2012 ◽  
Vol 546-547 ◽  
pp. 656-660
Author(s):  
Wan Jin Liu ◽  
Jin Chao An ◽  
Hui Zhou ◽  
Chao Su
Keyword(s):  
Seismic Data ◽  
Sedimentary Facies ◽  
Fusion Imaging ◽  
Fusion Technology ◽  
Seismic Attribute ◽  
Geological Body ◽  
Stratigraphic Framework ◽  
Single Attribute ◽  
Well Data

The seismic attribute has multi-solution, and can not correspond to geological bodies exactly, a variety of seismic attributes information interpreted by changes in their characteristic parameters was prone to conflicts, the fusion technology of multi-attribute fuses the independent single-attribute in seismic data together, it can use the advantage of each attribute to display the characterization of geological body vividly. In this paper, we extract the attributes slice under the control of isochronous stratigraphic framework along layers, optimize the attribute using reference well data to select three independent attributes that can reflect lithological and physical properties, and fuse the three favorable attributes using the image of RGB fusion technology for better identification of sedimentary facies.

Geopressure prediction using seismic data: Current status and the road ahead

Geophysics ◽  
2002 ◽  
Vol 67 (6) ◽  
pp. 2012-2041 ◽  
Author(s):  
N. C. Dutta
Keyword(s):  
Seismic Data ◽  
Large Scale ◽  
Best Practice ◽  
Seismic Velocity ◽  
Rock Physics ◽  
Rock Properties ◽  
Current Status ◽  
Seismic Attribute ◽  
Attribute Analysis ◽  
Exploration And Production

The subject of seismic detection of abnormally high‐pressured formations has received a great deal of attention in exploration and production geophysics because of increasing exploration and production activities in frontier areas (such as the deepwater) and a need to lower cost without compromising safety and environment, and manage risk and uncertainty associated with very expensive drilling. The purpose of this review is to capture the “best practice” in this highly specialized discipline and document it. Pressure prediction from seismic data is based on fundamentals of science, especially those of rock physics and seismic attribute analysis. Nonetheless, since the first seismic application in the 1960s, practitioners of the technology have relied increasingly on empiricism, and the fundamental limitations of the tools applied to detect such hazardous formations were lost. The most successful approach to seismic pressure prediction is one that combines a good understanding of rock properties of subsurface formations with the best practice for seismic velocity analysis appropriate for rock physics applications, not for stacking purposes. With the step change that the industry has seen in the application of the modern digital computing technology to solving large‐scale exploration and production problems using seismic data, the detection of pressured formations can now be made with more confidence and better resolution. The challenge of the future is to break the communication and the “language barrier” that still exists between the seismologists, the rock physicists, and the drilling community.

scholarly journals Lithological body identification and insider description of H12 well area in Beier Sub-sag

2021 ◽  
Vol 267 ◽  
pp. 02044
Author(s):  
Guofu li ◽  
Ming Yan ◽  
Guofeng Liang ◽  
Weijia Xu ◽  
Bin Zhang
Keyword(s):  
High Resolution ◽  
Seismic Data ◽  
High Frequency ◽  
Spectral Decomposition ◽  
Sedimentary Facies ◽  
Analysis Techniques ◽  
Attribute Analysis ◽  
Sand Bodies

On the basis of high-resolution seismic data, a high-frequency framework was established for the H12 well area. Combined with drilling analysis and sedimentary facies research, we analyzed favorable lithological development areas. Interpretation of subdivision layers in favorable lithological development areas, optimization of target sand bodies, and multi-attribute analysis techniques, we accurately describe the distribution of lithological bodies. By using spectral decomposition technology to perform insider characterization of lithological bodies, and combine with actual drilling to predict the distribution of effective reservoirs, we have summarized a set of effective methods for identifying such lithological traps.

scholarly journals Forecasting of the petrophysical rock properties of the target interval of sediments of the Gazanbulak field according to the 3D seismic attribute analysis in combination with GIS

2019 ◽  
Vol 1 (2) ◽  
pp. 63-71
Author(s):  
AKHMEDOV Tofi k Rashid ogly ◽  
◽  
AGAEVA Maleika Agali kyzy ◽  
MAMEDOVA Sevindzh Rakhim kyzy ◽  
◽  
...  
Keyword(s):  
Rock Properties ◽  
3D Seismic ◽  
Target Interval ◽  
Seismic Attribute ◽  
Attribute Analysis

Seismic attribute mapping of a fluvial reservoir in Rhourde Chegga field (Hassi Messaoud, Algeria)

2020 ◽  
Author(s):  
Nasrine Medjdouba ◽  
zahia benaissa ◽  
amar boudella
Keyword(s):  
Seismic Data ◽  
Lower Triassic ◽  
Reservoir Properties ◽  
Seismic Attribute ◽  
The North ◽  
Fluvial Reservoir ◽  
Attribute Analysis ◽  
The Relationship ◽  
Sand Bodies ◽  
Rms Amplitude

<p>Rhourde Chegga field is located in the north of Hassi Messaoud giant field, Algeria. The main hydrocarbon-bearing reservoir in Rhourde Chegga field is the lower Triassic Argilo-Gréseux reservoir. The Triassic sand is deposited as fluvial channels and overbank sands with a thickness ranging from 15 to 20 m, lying unconformably on the Paleozoic formations. Lateral and vertical distribution of the sand bodies makes their mapping very difficult and, sometimes, even impossible with conventional seismic interpretation. </p><p>To better define drilling targets within the Triassic sand in the Rhourde Chegga field, 3D stratigraphic seismic attribute analysis was performed along the reservoir level, using PSTM and mid angle stack seismic data. By combining various attributes (RMS amplitude, half energy, variance, etc.), the channelized feature has been clearly imaged and delineated on the horizon slices and the volume extraction. The relationship between the combined seismic attributes and reservoir properties at well locations showed a good correlation.</p><p>Based on this study, about ten produced wells have been successfully drilled, confirming the efficiency of seismic attribute analysis to predicted channel body geometry.</p><p>Keywords: Channel, Attributes, Amplitude, Fluvial reservoir.</p><p> </p>

Sign in / Sign up

Export Citation Format

Share Document