Seismic Sedimentology of Changling Gas Field, Northeast China

2014 ◽  
Vol 962-965 ◽  
pp. 608-611
Author(s):  
Xiao Song Li ◽  
Yong Yuan ◽  
Jin Liang Zhang ◽  
Xin Lv
Keyword(s):  
Oil And Gas ◽  
Signal To Noise Ratio ◽  
Sedimentary Facies ◽  
Extraction Technology ◽  
Seismic Attribute ◽  
Gas Field ◽  
Body Distribution ◽  
Multiple Attribute ◽  
Seismic Sedimentology ◽  
Multiattribute Analysis

Sedimentary facies plane features of Changling No.1 gas field is analyzed with multiattribute analysis. In Changling area, the signal to noise ratio of the seismic data is low and the sand body distribution in lateral lithologic reservoir changes fast. In this condition, research of seismic sedimentology is launched. Through the seismic stratigraphic classification, the target stratum, Denglouku group is divided into four sand groups. On the basis of the calibration of synthetic seismograms and interpretation of horizon, accurate corresponding relation between the seismic reflection and geological horizon is established. By means of multiple attribute extraction technology, relatively independent attributes related to oil and gas are selected, and afterwards the analysis of the petrophysical characteristics and the optimization of the seismic attribute are achieved. Finally, through the seismic attributes analysis technology and the horizon slice technology, combined with the result of sedimentary facies analysis, the favorable areas of gas accumulation are predicted.

Seismic Attributes Prediction of Changling Gas Field, Northeast China

2014 ◽  
Vol 962-965 ◽  
pp. 604-607
Author(s):  
Xiao Yu Yu ◽  
Yong Yuan ◽  
Jin Liang Zhang ◽  
Yuan Yuan Wang
Keyword(s):  
Oil And Gas ◽  
Seismic Attributes ◽  
Research Area ◽  
Synthetic Seismograms ◽  
Extraction Technology ◽  
Seismic Attribute ◽  
Gas Field ◽  
Multiple Attribute ◽  
Attribute Extraction ◽  
Multiattribute Analysis

Reservoir plane features of Changling No.1 gas field is analyzed with multiattribute analysis. Through the production of fine synthetic seismograms, the research area is analyzed by seismic attribute. On the basis of the calibration of synthetic seismograms and interpretation of horizon, accurate corresponding relation between the seismic reflection and geological horizon is established. By means of multiple attribute extraction technology, relatively independent attributes related to oil and gas are selected, and afterwards the analysis of the petrophysical characteristics and the optimization of the seismic attribute are achieved. Finally, through the seismic attributes analysis technology and the horizon slice technology, the favorable areas of gas accumulation are predicted.

Reservoir Prediction of Zhong 2 Block in Junggar Basin, NW China

2013 ◽  
Vol 868 ◽  
pp. 138-141
Author(s):  
Yong Yuan ◽  
Jin Liang Zhang ◽  
Ning Ning Meng
Keyword(s):  
Oil And Gas ◽  
Junggar Basin ◽  
Research Area ◽  
Seismic Inversion ◽  
Synthetic Seismograms ◽  
Extraction Technology ◽  
Reservoir Prediction ◽  
Seismic Attribute ◽  
Oil Accumulation ◽  
Multiple Attribute

Reservoir plane features of Zhong 2 block in Junggar Basin is analyzed with multiattribute analysis. Through the production of fine synthetic seismograms, the research area is analyzed by seismic attribute. On the basis of the calibration of synthetic seismograms and interpretation of horizon, accurate corresponding relation between the seismic reflection and geological horizon is established. By means of multiple attribute extraction technology, relatively independent attributes related to oil and gas are selected, and afterwards the analysis of the petrophysical characteristics and the optimization of the seismic attribute are achieved. Finally, through the seismic attributes analysis technology and the horizon slice technology, and seismic inversion is conducted, the favorable areas of oil accumulation are predicted.

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.

Seismic attribute for characterization and prediction of carbonate faulted karst reservoirs in Tarim Basin, China

2021 ◽  
pp. 1-36
Author(s):  
Zhiwei Xiao ◽  
Li Wang ◽  
Ruizhao Yang ◽  
Dewei Li ◽  
Lingbin Meng
Keyword(s):  
Tarim Basin ◽  
Oil And Gas ◽  
Prediction Method ◽  
Strike Slip ◽  
Fault System ◽  
Bright Spot ◽  
Upper Ordovician ◽  
Reservoir Prediction ◽  
Seismic Attribute ◽  
Gas Field

An ultradeep, faulted karst reservoir of Ordovician carbonate was discovered in the Shunbei area of the Tarim Basin. Fractured-cavity reservoirs buried beneath the large thickness of upper Ordovician mudstone were formed along the fault-karst belts. The hydrocarbon accumulation in these reservoirs is controlled by the fault system, and the oil-gas accumulation was affected by karstification and hydrothermal reformation. Previous studies and 2D modeling revealed that the reservoirs had “bright spot” amplitude responses like “string beads,” and they have developed along the strike-slip faults. However, describing such a complex fault-controlled karst system is still a difficult problem that has not been well addressed. We have sought to instruct the attribute expression of faulted karst reservoirs in the northern part of the Tarim Basin. We applied coherence and fault likelihood (FL) seismic attributes to image faults and fractures zones. We then used a trend analysis method to calculate the residual impedance from the impedance of the acoustic inversion, using the fact that residual impedance has higher lateral resolution in reservoir predictions. Finally, we integrated the coherence, FL, and residual impedance attributes into a new seismic attribute, the “fault-vuggy body,” with a certain fusion coefficient. The fault-vuggy body attribute establishes a connection between faults and karst cavities. This method could help in the characterization and prediction of carbonate faulted karst reservoirs. Available drilling data were used to validate that the fused fault-vuggy body attribute was an effective reservoir prediction method. As the seismic sections and slices along the layer help delineate, the distribution of bright spots and strike-slip faults indicates that the main strike-slip fault zones are the most favorable reservoirs in the Shunbei Oil and Gas Field.

Application of a Multiple Attribute Decision Making Method to Improve Oil and Gas Field Development Projects

2017 ◽  
Author(s):  
Herminio Passalacqua ◽  
Jose Luis Ortiz Volcan ◽  
Mohamad Hasan Al Einawi ◽  
Jamaneh Mostafa Kadnaji ◽  
Fatemah Karam
Keyword(s):  
Decision Making ◽  
Oil And Gas ◽  
Multiple Attribute Decision Making ◽  
Development Projects ◽  
Gas Field ◽  
Field Development ◽  
Multiple Attribute ◽  
Oil And Gas Field

ADVANCES IN VISUALISATION TECHNOLOGIES: A CASE STUDY, LAHO GAS FIELD—OFFSHORE PENINSULAR MALAYSIA

2004 ◽  
Vol 44 (1) ◽  
pp. 513
Author(s):  
C.M. Gell ◽  
D.E. Meyer ◽  
R.A. Majid ◽  
D.J. Carr
Keyword(s):  
Oil And Gas ◽  
Peninsular Malaysia ◽  
Gas Production ◽  
Wave Form ◽  
Gas Field ◽  
Oil And Gas Production ◽  
3D Data ◽  
New Information ◽  
Multiple Attribute ◽  
3D Volume

A typical problem facing oil company asset teams today is the integration of new information into existing fields. Recently acquired 3D seismic for example, can add much needed detail for understanding reservoirs from producing wells. The key step of interpreting faults and surfaces, on which many other results depend, can often be time consuming and delay efforts to bring additional oil and gas production on-line. Using a volume-based approach to seismic interpretation with today’s visualisation technology, however, can lead to more accurate results produced up to four times faster than traditional line-by-line methods.Over the last four years, visualisation technologies have advanced to the point where these new techniques provide a faster, more geologically correct interpretation and evaluation of potential reservoirs in a shorter amount of time by comparison with line-by-line methods. These advanced techniques include, but are not limited to: multiple attribute voxel interpretation; interpreting fault planes (rather than fault sticks); real-time volume rendering with the ability to create geobodies; quick reconnaissance work in volume; the ability to combine workflows using non-3D volume tools such as wave-form classification with volume interpretation.This paper provides an example of the Laho gas field, offshore Peninsular Malaysia, where two wells were already producing gas and the operator, Petronas Carigali Sdn. Bhd (PCSB), acquired 3D data to evaluate the possibility of additional drilling locations.

Reservoir Prediction of Lishui Depression, East China Sea Basin

2013 ◽  
Vol 807-809 ◽  
pp. 2147-2150
Author(s):  
Guo Wei Hou ◽  
Yong Yuan ◽  
Jin Liang Zhang
Keyword(s):  
East China Sea ◽  
Seismic Inversion ◽  
Synthetic Seismograms ◽  
East China ◽  
Extraction Technology ◽  
Reservoir Prediction ◽  
Seismic Attribute ◽  
China Sea ◽  
Multiple Attribute ◽  
East China Sea Basin

Reservoir plane features of Lishui depression in East China Sea Basin is analyzed with multiattribute analysis. Through the production of fine synthetic seismograms, the research area is analyzed by seismic attribute. On the basis of the calibration of synthetic seismograms and interpretation of horizon, accurate corresponding relation between the seismic reflection and geological horizon is established. By means of multiple attribute extraction technology, relatively independent attributes related to oil and gas are selected, and afterwards the analysis of the petrophysical characteristics and the optimization of the seismic attribute are achieved. Finally, through the seismic attributes analysis technology and the horizon slice technology, and seismic inversion is conducted, the favorable areas of oil accumulation are predicted.

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