Matlab and Geoscope Joint Inversion Technology under the Constraint of Isochronous Facies Controlled Multi-Point Geological Model

2013 ◽  
Vol 416-417 ◽  
pp. 1926-1934 ◽  
Author(s):  
Shi Fang ◽  
Xin Rong Zhang ◽  
Jun Li ◽  
Chun Lai Xie
Keyword(s):  
Statistical Model ◽  
Seismic Data ◽  
Oil And Gas ◽  
Joint Inversion ◽  
Oil Field ◽  
Space Distribution ◽  
Gas Reservoirs ◽  
Stochastic Inversion ◽  
Variation Function ◽  
Sand Bodies

The formation in Wudong area is complex, and oil and gas reservoirs are seriously concealed and very difficult to identify. Thus, to accurately predict the sand bodies by using seismic data, the facies controlled multi-point geological statistical model constrained inversion technology under the isochronous framework is applied. Through a comprehensive explanation on the seismic and geological data, the deposit facies space distribution in the study area is reveled, and then a very stable space variation function is solved in combination with the multi-point geological statistical model analyzed in the developed well. Seismic stochastic inversion constrained by the model is implemented, and its prediction accordance rate of the sand bodies reaches 87.5%, proving the facies controlled multi-point geological statistical model constrained inversion technology under the isochronous framework are only targeted at a few wells, and plays a very significant effect on the area of few wells, uneven distribution, and complex formation evolution. Thus, the model can meet the needs of the oil field exploration and development.

Analysis on the well Constraint Inversion of the Jason-Based Layer Flattening Seismic Data under the High-Resolution Isochronous Framework

2013 ◽  
Vol 416-417 ◽  
pp. 1135-1141
Author(s):  
Shi Fang ◽  
Xin Rong Zhang ◽  
Jin Ping Liu ◽  
Chun Lai Xie
Keyword(s):  
High Resolution ◽  
Seismic Data ◽  
Oil And Gas ◽  
Absolute Error ◽  
Oil Field ◽  
Obvious Effect ◽  
Sand Body ◽  
The Absolute ◽  
Plane Distribution ◽  
Sand Bodies

The later-period structure of Fuyang oil layer is very complex, and its reservoir mainly consists of riverway sand bodies; the oil and gas reservoir is significantly concealed, so it is greatly difficult to identify. In order to accurately predict sand bodies by using seismic data, a well constrained inversion is made to the layer flattening seismic data using Jason software under the high-resolution sequence framework. Through a comprehensive analysis on seismic and geological data, the absolute error is within ±500, the relative error is within 10%; the predicted sand body plane distribution is reasonable, and the absolute error of 82% sand bodies is less than 10%. This proves that well constrained inversion for the Jason-based layer flattening seismic data under the high-resolution isochronous framework has an obvious effect on the areas of complex later-period structure, and thin and complex changed sand bodies. Therefore, it can meet the needs of the oil field exploration and development to a certain extent.

scholarly journals Development of a prmA genes quantification technique and assessment of the technique’s application potential for oil and gas reservoir exploration

2018 ◽  
Vol 36 (5) ◽  
pp. 1172-1188 ◽  
Author(s):  
Zhuo Ning ◽  
Ze He ◽  
Sheng Zhang ◽  
Miying Yin ◽  
Yaci Liu ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Quantitative Polymerase Chain Reaction ◽  
Oil Field ◽  
Gas Reservoirs ◽  
Gas Reservoir ◽  
Gas Field ◽  
Detection Range ◽  
Gene Copies ◽  
Application Potential ◽  
Sensitivity Specificity

Propane-oxidizing bacteria in surface soils are often used to indicate the position of oil and gas reservoirs. As a potential replacement for the laborious traditional culture-dependent counting method, we applied real-time fluorescent quantitative polymerase chain reaction detection as a quick and accurate technology for quantification of propane-oxidizing bacteria. The propane monooxygenase gene was set as the target and the assay is based on SYBR Green I dye. The detection range was from 9.75 × 108 to 9.75 × 101 gene copies/µl, with the lowest detected concentration of 9.75 copies/µl. All coefficient of variation values of the threshold cycle in the reproducibility test were better than 1%. The technique showed good sensitivity, specificity, and reproducibility. We also quantified the propane-oxidizing bacteria in soils from three vertical 250 cm profiles collected from an oil field, a gas field, and a nonoil gas field using the established technique. The results indicated that the presence of propane monooxygenase A genes in soils can indicate an oil or gas reservoir. Therefore, this technique can satisfy the requirements for microbial exploration of oil and gas.

THE DEVELOPMENT OF THE TIRRAWARRA OIL AND GAS FIELD

1984 ◽  
Vol 24 (1) ◽  
pp. 278
Author(s):  
H. T. Pecanek ◽  
I. M. Paton
Keyword(s):  
Carbon Dioxide ◽  
Oil And Gas ◽  
Gas Injection ◽  
Oil Field ◽  
Oil Reservoir ◽  
Gas Reservoirs ◽  
Gas Field ◽  
Associated Gas ◽  
Oil And Gas Field ◽  
Cooper Basin

The Tirrawarra Oil and Gas Field, discovered in 1970 in the South Australian portion of the Cooper Basin, is the largest onshore Permian oil field in Australia. Development began in 1981 as part of the $1400 million Cooper Basin Liquids ProjectThe field is contained within a broad anticline bisected by a north-south sealing normal fault. This fault divides the Tirrawarra oil reservoir into the Western and Main oil fields. Thirty-four wells have been drilled, intersecting ten Patchawarra Formation sandstone gas reservoirs and the Tirrawarra Sandstone oil reservoir. Development drilling discovered three further sandstone gas reservoirs in the Toolachee Formation.The development plan was based on a seven-spot pattern to allow for enhanced oil recovery by miscible gas drive. The target rates were 5400 barrels of oil (860 kilolitres) per day with 13 million ft3 (0.37 million m3) per day of associated gas and 70 million ft3 (2 million m') per day of wet, non-associated gas. Evaluation of early production tests showed rapid decline. The 100 ft (30 m) thick, low-permeability Tirrawarra oil reservoir was interpreted as an ideal reservoir for fracture treatment and as a result all oil wells have been successfully stimulated, with significant improvement in well production rates.The oil is highly volatile but miscibility with carbon dioxide has been proven possible by laboratory tests, even though the reservoir temperature is 285°F (140°C). Pilot gas injection will assess the feasibility of a larger-scale field-wide pressure maintenance scheme using miscible gas. Riot gas injection wells will use Tirrawarra Field Patchawarra Formation separator gas to defer higher infrastructure costs associated with the alternative option of piping carbon dioxide from Moomba, the nearest source.

Redefined Distribution of the Permian Volcanic Rocks in the Tarim Basin: Based on Logging and Seismic Data

2013 ◽  
Vol 448-453 ◽  
pp. 3723-3727 ◽  
Author(s):  
Yun Pan ◽  
Zong Xiu Wang ◽  
Mao Pan
Keyword(s):  
Tarim Basin ◽  
Seismic Data ◽  
Oil And Gas ◽  
Volcanic Rocks ◽  
Oil Field ◽  
Shielding Effect ◽  
Underlying Structure ◽  
Oil Exploration ◽  
Oil And Gas Exploration ◽  
The North

There are a lot of Permian volcanic rocks which are widely distributed in Tarim Basin. Because of the shielding effect of the volcanic rocks to the underlying structure, the distribution of the volcanic rocks in Tarim Basin is very important to the deep oil and gas exploration. However, with the progress of oil exploration in Tarim oil field in recent years, much more logging and seismic data is available. Based on the model of logging-seismic integrated identification, the distribution of the Permian volcanic rocks is revised by using the drilling, logging and seismic data. It shows that the rhyolite is mainly distributed in the north basin, and the basalt is widely distributed in the basin. Moreover, the basalt has larger area than which delineated by other people.

Research on Sedimentary Microfacies of Sandstone Group I in Putaohua Oil Reservoir of Gu83 Block in Gulong Oilfield

2013 ◽  
Vol 787 ◽  
pp. 618-621
Author(s):  
Yang Liu ◽  
Cheng Zhi Liu ◽  
Hui Li ◽  
Xiao Jing Liu ◽  
Yu Cong Li
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Delta Front ◽  
Group I ◽  
Core Logging ◽  
Work Area ◽  
Sedimentary Microfacies ◽  
Plane Distribution ◽  
Drilling Core ◽  
Sand Bodies

The oil and gas reserves of Gu83 block in Gulong oilfield is very abundant, but the development is very difficult because the sand bodies are thin, scattered and lack of horizontal continuity. Guided by the theory of sequence stratigraphy and reservoir sedimentology, using drilling core, logging and seismic data, the researcher found that the interest area belongs to delta front subfacies deposition, which can be mainly classified by four miscrofacies types including underwater distributary channel, mouth, sheet sand and bay between distributary. The plane distribution of sedimentary microfacies are mainly controlled by the west and north provenance, the two source collected in the middle east of the work area.

Analysis on the FRSTM Fracture-Based Pre-Stack Seismic Azimuth Attributes of the Sand Bodies in Fuyang Oil Layer in Songliao Basin

2013 ◽  
Vol 443 ◽  
pp. 689-694
Author(s):  
Xin Rong Zhang ◽  
Shi Fang ◽  
Jin Ping Liu ◽  
Mao Xin Yang
Keyword(s):  
Oil And Gas ◽  
Space Distribution ◽  
Obvious Effect ◽  
Development Zone ◽  
Anisotropic Strength ◽  
Study Results ◽  
Sedimentary Microfacies ◽  
Oil And Gas Reservoir ◽  
The Relationship ◽  
Sand Bodies

The later-period structure of Fuyang oil layer is complex and its reservoir is mostly composed by the sand bodies of riverways. The oil and gas reservoir features obvious concealment, and also is difficult to identify. Therefore, in this study, the pre-stack seismic attributes of the sand bodies in riverways were identified using FRSTM fracture software in the study area, and the study results of the pre-stack detection on anisotropy showed that the relationship between the anisotropic development zone and the sedimentary microfacies is close and also they are affected by the fracture system. After a comprehensive analysis, it can be judged that the reliability of the anisotropic development features with fully-contained fluid or better physical properties after a pre-stack anisotropy analysis is very high, can objectively reflect the space distribution characteristics of the anisotropic strength at the targeted reservoir, and can plays an obvious effect on the areas of the complex later structure, and thin and complex sand bodies, so that the needs of oil fields exploration and development can be fulfilled.

Interpretation of fractures and joint inversion using multicomponent seismic data — Marcellus Shale example

2014 ◽  
Vol 2 (2) ◽  
pp. SE55-SE62 ◽  
Author(s):  
Shukun Yuan ◽  
Michael V. DeAngelo ◽  
Bob A. Hardage
Keyword(s):  
Shale Gas ◽  
Oil And Gas ◽  
Reservoir Characterization ◽  
Joint Inversion ◽  
Marcellus Shale ◽  
Natural Fracture ◽  
Gas Reservoirs ◽  
Horizontal Drilling ◽  
Multicomponent Seismic ◽  
Shale Gas Reservoirs

Evaluating and exploiting unconventional complex oil and gas reservoirs such as the Marcellus Shale gas reservoirs within the Appalachian Basin in Pennsylvania, USA, have gained considerable interest in recent years. Technologies such as conventional 3D seismic, horizontal drilling, and hydraulic fracturing have been at the forefront of the effort to exploit these resources. Recently, multicomponent seismic technologies have been integrated into some resource evaluation and reservoir characterization activities of low-permeability rock systems. We evaluated how multicomponent seismic technology provides value to reservoir characterization in shale gas exploration. We improved fault interpretations and natural fracture identifications by means of [Formula: see text] and [Formula: see text] integrated interpretation. In addition, using P-P-/P-SV-joint inversion, we extracted key parameters, such as [Formula: see text] ratio and density, that improve stratigraphic interpretation and rock-property descriptions of shale gas reservoirs.

scholarly journals HYDROCARBON POTENTIAL OF TOLO BAY MOROWALI REGENCY: QUALITATIVE ANALYSIS

2015 ◽  
Vol 38 (1) ◽  
pp. 13-24
Author(s):  
Suliantara Suliantara ◽  
Tri Muji Susantoro
Keyword(s):  
Source Rock ◽  
Seismic Data ◽  
Middle Miocene ◽  
Oil And Gas ◽  
Tectonic Setting ◽  
Oil Field ◽  
Reservoir Rock ◽  
Exploration Risk ◽  
Directorate General ◽  
Block Based

Tolo Bay is located between East Arm and Southeast Arm Sulawesi, reaching a water depth of up to 3500 meters below sea level. Regionally, this block is situated within Banggai Basin where some gas and oil fi elds are already in production. The closest fi eld is Tiaka Oil Field located about 125 kilometers northwest of the study area. A geo-science review has been conducted to clarify the potential existence of hydrocarbon in this block. Based on previous reports, papers, and subsurface data from the Directorate General of Oil and Gas, the study area is located within the collision area between Banggai-Sula Microcontinent and Sulawesi. This collision occurred during Late Creataceous and Middle Miocene periods. During drifting phase a sedimentation process occurred at the front of the Banggai-Sula Microcontinent. This sediment is potentially source rock and reservoir rock. Meanwhile, during the drifting phase the study area is interpreted as located at the southern part of Banggai-Sula Microcontinent. This different tectonic setting will impact on the type of sedimentary rock, hence source rock and reservoir rock occurrence in the study area is still unclear. As source rock and reservoir rock within the study area are unclear, hydrocarbon explorations will be very risky. In order to reduce exploration risk, it is proposed to conduct geological and geophysical studies using the latest seismic data that was surveyed by PT. TGS – NOPEC and PT. ECI – PGS.

scholarly journals Relationship between well pattern density and variation function of stochastic modelling and database establishment

2020 ◽  
Vol 75 ◽  
pp. 84
Author(s):  
Jinkai Wang ◽  
Kai Zhao ◽  
Zhaoxun Yan ◽  
Yuxiang Fu ◽  
Jun Xie
Keyword(s):  
Oil And Gas ◽  
Stochastic Modelling ◽  
Gas Reservoirs ◽  
Gas Field ◽  
Pattern Density ◽  
Vertical Range ◽  
Variation Function ◽  
Well Pattern ◽  
Geological Conditions ◽  
Degree Of Convergence

For 3D geological modelling of oil and gas reservoirs, well pattern density is directly related to the number of samples involved in the calculation, which determines the variation function of stochastic modelling and has great impacts on the results of reservoir modelling. This paper focuses on the relationship between well pattern density and the variogram of stochastic modelling, selects the large Sulige gas field with many well pattern types as the research object, and establishes a variogram database of stochastic models for different well pattern densities. First, the well pattern in the study area is divided into three different types (well patterns A, B, and C) according to well and row space. Several different small blocks (model samples) are selected from each type of well pattern to establish the model, and their reasonable variogram values (major range, minor range and vertical range) are obtained. Then, the variogram values of all model samples with similar well pattern densities are analysed and counted, and the variogram database corresponding to each type of well pattern is established. Finally, the statistical results are applied to the modelling process of other blocks with similar well pattern density to test their accuracy. The results show that the reservoir model established by using the variation function provided in this paper agrees well with the actual geological conditions and that the random model has a high degree of convergence. This database has high adaptability, and the model established is reliable.

Sign in / Sign up

Export Citation Format

Share Document