Study on Volcanic Facies of Yingcheng Formation in Yaoshen Area

2013 ◽  
Vol 787 ◽  
pp. 661-663
Author(s):  
Cheng Zhi Liu ◽  
Xi Liu ◽  
Xue Du
Keyword(s):  
Seismic Data ◽  
Volcanic Eruption ◽  
Sedimentary Facies ◽  
Clastic Rock ◽  
Volcanic Breccia ◽  
Yingcheng Formation ◽  
Volcanic Lava ◽  
Volcanic Facies ◽  
Volcanic Activities

There are two classification including volcanic lava and volcanic clastic rock, totally 15 types in Yingcheng Formation, Yaoshen area. The lithology is mainly characterized as acid rhyolite, tuffs and volcanic breccia. By using logging data and seismic data, the authors come to the conclusion as follows: there existed five types of lithofacies of volcanic lava in this area, with eruption-overflow facies most widely developed. The section is characterized as eruption mixed with overflow, superposed eruption-overflow facies and volcanic sedimentary facies occurred far from the crater. There are frequent volcanic activities, multi-periodic activities of volcanic eruption developed, thus multi-periodic eruption modes were formed. This area is overlapped and connected in the plane, adjacent eruption facies are often connected, overflow facies are distributed on lave platform.

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.

scholarly journals Seismic Characteristics and Development of the Upper Jurassic Carbonate Buildups from the Miechów Trough (Southern Poland)

Geosciences ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 239
Author(s):  
Łukasz Słonka ◽  
Piotr Krzywiec
Keyword(s):  
Seismic Data ◽  
Sedimentary Facies ◽  
Upper Jurassic ◽  
Seismic Facies ◽  
Depositional Model ◽  
Attribute Analysis ◽  
Deep Wells ◽  
Depositional System ◽  
Carbonate Buildups ◽  
Mass Flows

The presented study is devoted to the subsurface Upper Jurassic carbonate buildups and surrounding stratified inter-buildup deposits in the hitherto less recognized area, in comparison with other parts of the northern Tethyan shelf in Poland and Europe. The study area is located within the present-day Miechów Trough, almost entirely covered by thick Cretaceous and younger deposits. This paper shows results of the interpretation of 2D seismic data, calibrated by data from deep wells. Investigation of various elements of the Upper Jurassic carbonate depositional system in the Miechów Trough is supported by seismic facies and attribute analysis. The four distinctive seismic facies—(A) bedded, (B) mound-shaped, (C) contorted-chaotic, and (D) chaotic—were assigned to the main Upper Jurassic sedimentary facies, represented by (1) bedded facies, (2) massive facies (carbonate buildups) and (3) deposits of gravity mass-flows. The results of this study were used to construct a depositional model for the Upper Jurassic succession, that focuses on the initiation, growth and demise of the large carbonate buildups in this part of the basin. This paper also presents the more extensive distribution of the Upper Jurassic carbonate buildups than was previously proposed for the Miechów Trough.

Sedimentary Facies and Evolution of early Cretaceous in the Fault Depressions, Songnan Area

2012 ◽  
Vol 152-154 ◽  
pp. 1036-1040
Author(s):  
Ya Sheng Wu ◽  
Da Kang Zhong ◽  
Nan Sheng Qiu ◽  
Xiao Ying Zhang
Keyword(s):  
Structural Geology ◽  
Seismic Data ◽  
Oil And Gas ◽  
Sedimentary Facies ◽  
The Other ◽  
Well Logs ◽  
Sedimentary Environments ◽  
Sedimentary Evolution ◽  
Fan Delta ◽  
Two Stages

Based on the structural geology, sedimentology, palaeontology and geochemistry, the sedimentary facies and evolution patterns are developed in Songnan area from the studies of seismic data, cores, well logs, palaeontology and geochemistry. The result indicates that nearshore subaqueous fan, fan delta, braid delta and lacustrine had been developed in the fault depressions of Songnan area. From the margin to the depocenter of the basin, the sedimentary environments gradually changed from nearshore subaqueous fan, fan delta or braid delta to shore-shallow sediments and middle depth-deep lacustrine. Two stages are divided for the sedimentary evolution of Songnan area, namely the prior stage which appears with Yixian formation developing lava facies and pyroclastic facies; the other is the detrital rock facies ,which are developed from formation Jiufotang to Fuxin, is composed of nearshore subaqueous fan, fan delta, braid delta and lacustrine. Conclusion can be made that those sedimentary facies are controlled by the depth of water variation, which changed from shallow to deep, and then to shallow. Multiple source-reservoir-cap assemblage in vertical provided favourable condition for oil and gas pool forming.

Reservoir Prediction Under Control of Sedimentary Facies

2017 ◽  
Vol 25 (03) ◽  
pp. 1750022
Author(s):  
Xiuwei Yang ◽  
Peimin Zhu
Keyword(s):  
Seismic Data ◽  
Low Frequency ◽  
Prediction Method ◽  
Rock Physics ◽  
Real Data ◽  
Sedimentary Facies ◽  
Seismic Inversion ◽  
Rock Properties ◽  
Reservoir Prediction ◽  
Frequency Model

Acoustic impedance (AI) from seismic inversion can indicate rock properties and can be used, when combined with rock physics, to predict reservoir parameters, such as porosity. Solutions to seismic inversion problem are almost nonunique due to the limited bandwidth of seismic data. Additional constraints from well log data and geology are needed to arrive at a reasonable solution. In this paper, sedimentary facies is used to reduce the uncertainty in inversion and rock physics modeling; the results not only agree with seismic data, but also conform to geology. A reservoir prediction method, which incorporates seismic data, well logs, rock physics and sedimentary facies, is proposed. AI was first derived by constrained sparse spike inversion (CSSI) using a sedimentary facies dependent low-frequency model, and then was transformed to reservoir parameters by sequential simulation, statistical rock physics and [Formula: see text]-model. Two numerical experiments using synthetic model and real data indicated that the sedimentary facies information may help to obtain a more reasonable prediction.

VISUALISATION OF A FLUVIAL CHANNEL RESERVOIR ANALOGUE FROM THE BIRKHEAD FORMATION, MERRIMELIA, MERANJI AND PELICAN FIELDS, EROMANGA BASIN

2003 ◽  
Vol 43 (1) ◽  
pp. 453 ◽  
Author(s):  
T. Nakanishi ◽  
S.C. Lang ◽  
A.B. Mitchell
Keyword(s):  
Seismic Data ◽  
Sedimentary Facies ◽  
Mean Value ◽  
3D Seismic ◽  
Point Bar ◽  
Channel Belt ◽  
Point Bars ◽  
Seismic Amplitudes ◽  
3D Seismic Data ◽  
Eromanga Basin

The effective production of hydrocarbons from the Birkhead Formation, Eromanga Basin, relies heavily on understanding the complex distribution of reservoir and seal rocks deposited in a fluvial environment. To visualise this complexity, sequence stratigraphic concepts applied to non-marine basins were combined with 3D seismic data visualisation in a study of the Birkhead interval over the Merrimelia, Meranji and Pelican fields.Fluvial channel, crevasse splay channel, floodplaincrevasse splay complex and floodplain facies were recognised from the well log motifs in the Birkhead Formation. The interval is interpreted as an alluvial transgressive systems tract bounded by flooding surfaces consisting of shaly or coaly intervals. Lateral discontinuity of the fluvial system can be demonstrated between these surfaces. Seismic amplitude distributions in the 3D seismic data in the upper part of this transgressive systems tract illustrate well developed meandering fluvial channels. Combining the spatial distributions of sedimentary facies from the well logs and the seismic amplitudes results in the interpretation of a fluvial meandering channel belt that includes point bars and abandoned channels.The point bar sandstones in the channel belt should make good reservoirs and the juxtaposition of the point bar and abandoned channel facies can result in a stratigraphic trap component to the reservoir rocks within the channel belt. Although the point bars are known to be wet in the study area, it is still useful to consider their capacity as oil reservoirs, since they may serve as analogues for similar untested point bars elsewhere. Multiple realisations of the distribution of sandstone thickness of the point bars were generated by conditional simulation, using seismic amplitudes to control extrapolation of the well data. This gave a potential reserves distribution with a mean value of 18.8 million bbl in place. The complexity of the fluvial channel systems in the Birkhead Formation described in this paper should aid understanding of the reservoir and seal distribution and help optimise production from this interval in other fields.

Overseas Offshore Reservoir Quick Forecast by Sedimentary Facies

2013 ◽  
Vol 321-324 ◽  
pp. 2444-2447
Author(s):  
Cheng Hua Ou ◽  
Qiang Han ◽  
Wen Jiang Zhou
Keyword(s):  
Data Analysis ◽  
Seismic Data ◽  
Sedimentary Facies ◽  
Well Log ◽  
Forecast Method ◽  
Core Data ◽  
The Core ◽  
Offshore Oil

There are more and more overseas offshore oil project in china, along of external interdependent level in petroleum becomes upgrading year by year. Therefore, developing quick forecast method on overseas offshore reservoirs becomes very necessary. The method is divided into three steps: i the core data analysis results are used to calibrate the interpretation about logs of well, ii the well log interpreted results are used to mark seismic data, iii the abundant seismic data is used to forecast overseas offshore reservoir quickly. And rear end in this article, an overseas offshore reservoir is used to as an example to verify the applicability and reliability of the method.

Research of Sequence Stratigraphic Models of Jiufotang Formation, Lower Cretaceous, the Luxi Sag, the Kailu Basin

2011 ◽  
Vol 356-360 ◽  
pp. 2941-2949
Author(s):  
Yang Li ◽  
Qing Bin Xie ◽  
Xiao Min Zhu ◽  
Fen Liu
Keyword(s):  
Seismic Data ◽  
Lower Cretaceous ◽  
Sedimentary Facies ◽  
River Delta ◽  
Braided River ◽  
Sequence Stratigraphic ◽  
Meandering River ◽  
River Deltas ◽  
Lacustrine Facies ◽  
Order Sequence

With comprehensive utilization of drilling, logging and seismic data, research was conducted on the sequence stratigraphic models of Jiufotang Formation, Lower Cretaceous in the Luxi Sag, Kailu Basin. It was revealed that Jiufotang Formation could be divided into one three-order sequence, which including lowstand systems tract (LST), transgressive systems tract (TST), highstand systems tract (HST) and regressive systems tract (RST). Within the sequence, it developed five types of sedimentary facies, which were nearshore subaqueous fan, braided river delta, meandering river fan, turbidite fan and lacustrine facies, respectively. The LST mainly developed nearshore subaqueous fan, the TST mainly developed meandering river deltas while the HST and RST mainly developed meandering river delta, braided river delta and nearshore subaqueous fan. In addition, turbidite fan developed in all four systems tracts. Two types of sequence stratigraphic models developed: short-axis model and long-axis model.

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.

scholarly journals One year of cyclic unrest in a hydrothermal field as a harbinger of a volcanic eruption

2021 ◽  
Author(s):  
Olafur Flovenz ◽  
Rongjiang Wang ◽  
Gylfi Hersir ◽  
Torsten Dahm ◽  
Sebastian Hainzl ◽  
...  
Keyword(s):  
Seismic Data ◽  
Volcanic Eruption ◽  
Gravity Data ◽  
Plate Boundary ◽  
Geothermal Field ◽  
Volcanic Gas ◽  
Upward Migration ◽  
Optical Cable ◽  
And Migration ◽  
One Year

Abstract One year of deformation and seismicity prior to a volcanic eruption in March 2021 at an oblique plate boundary in Iceland created a unique opportunity to study the interaction between upwelling magma and geothermal processes. We apply poroelastic modelling to explain satellite geodetic data showing three uplift and subsidence cycles at the Svartsengi geothermal field and use gravity data to constrain the density of intruded material. We use recordings on optical cable to generate a high-resolution earthquake catalogue and developed new waveform stacking and migration methods to detect and locate 39,500 earthquakes. The resulting model explains the geodetic, gravity, and seismic data by magmatic derived gas intruded into a horizontal sealed aquifer at 4 km depth in the roots of the geothermal field at the top of up-doming brittle-ductile boundary. The total injected volume is estimated 9.5·107m3 with optimal density of 840 kg/m3. Our results suggest upward migration of three packages of volcanic gas along the brittle-ductile boundary from a subcrustal magmatic source 8–10 km east of the geothermal field, with important implications for the dynamics leading to the eruption.

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