Logging Interpretation of S2 Formation of Moliqing Oilfield, Yitong Basin

2015 ◽  
Vol 1092-1093 ◽  
pp. 1406-1409
Author(s):  
Shao Jun Shi
Keyword(s):  
Electrical Property ◽  
Water Layer ◽  
Well Logging ◽  
Great Difficulty ◽  
Normal Faults ◽  
High Position ◽  
Hydrocarbon Reservoir ◽  
Facies Change ◽  
Deep Strata ◽  
Sand Bodies

Based on well logging data, this study has done research of well logging interpretation of Moliqing oilfield in Yitong basin. The Second member of Shuangyang formation is the main area. The main causes of complicated oil-water relationship are as follows: 1) rapid facies change produce diverse lithology distribution, and various lithology have different electrical property standards; 2) complex tectonic characteristics of study area bring about great difficulty in oil and water layer identification, especially a series of small normal faults in deep strata. According to those above, we built logging models in order to get essential parameters firstly. Then, several units of study area were divided. Different electrical property standards were established to solve the problem of recognition of water/oil layers. In total, more than 10,000 sand bodies of 149 wells were interpreted properly, and correct rate is higher than 90%. The conclusion is that oil layers distributed in high position of tectonics. Moliqing oilfield belongs to lithology-tectonic hydrocarbon reservoir.

scholarly journals Distribution and controls of petroliferous plays in subtle traps within a Paleogene lacustrine sequence stratigraphic framework, Dongying Depression, Bohai Bay Basin, Eastern China

2019 ◽  
Vol 17 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Ji-Chang Zhu ◽  
Cai-Neng Zou ◽  
You-Liang Feng ◽  
Shu Jiang ◽  
Wei-An Wu ◽  
...  
Keyword(s):  
Eastern China ◽  
Source Rocks ◽  
Normal Faults ◽  
Dynamic Factor ◽  
Bohai Bay ◽  
Sequence Stratigraphic ◽  
Dongying Depression ◽  
Stratigraphic Framework ◽  
Incised Channel ◽  
Sand Bodies

AbstractThe characteristics of petroliferous plays in subtle traps within a sequence stratigraphic framework in the Dongying Depression are investigated in this study. Sand bodies within lowstand systems tracts (LSTs) of sequences, comprising incised-channel fills, sublacustrine fans, deltas in LSTs, controlled by syndepositional normal faults, and sand bodies within transgressive systems tracts (TSTs) to early highstand systems tracts (HSTs), consisting of beach bars, and turbidites, controlled by the prodelta slope, paleorelief, and syndepositional normal faults, are good subtle reservoirs. Mudstones and shale of deep lake subfacies in TSTs to early HSTs of sequences are source and cap rocks. Abnormal overpressure is the dominant dynamic factor for hydrocarbon migration from source rock to the subtle traps. Normal faults, sand bodies, and unconformities function as conduit systems. Sand bodies distributed in the abnormal overpressure source rocks within LSTs to early HSTs are petroliferous plays in lithologic traps. The petroliferous plays in stratigraphic traps are controlled by unconformities at margins of the Depression.

Hydrocarbon Reservoir Potential of the Taranaki Basin, Western New Zealand

1988 ◽  
Vol 6 (3) ◽  
pp. 248-262 ◽  
Author(s):  
P.H. Robinson ◽  
P.R. King
Keyword(s):  
New Zealand ◽  
Late Cretaceous ◽  
Late Eocene ◽  
Hydrocarbon Reservoir ◽  
Future Activity ◽  
Terrestrial Sediments ◽  
Potential Reservoir ◽  
Sandstone Reservoir ◽  
Reservoir Potential ◽  
Sand Bodies

Taranaki Basin is a proven petroleum producing region, with commercial quantities of hydrocarbons from late Eocene paralic and terrestrial sands, and Miocene-latest Pliocene shelf sands. Other sediments with sub-commercial hydrocarbon accumulations, shows or potential reservoir features have also been encountered. The paralic and terrestrial sediments were deposited during periodic shoreline fluctuations in the Paleogene and were capped by transgressive terrigenous and carbonate muds. Other sand bodies, generally of bathyal and shelf setting and representing increasing regional tectonism, are found throughout the late Eocene to Pliocene sequence. Paleogeographic reconstructions depicting the maximum sand development during the Paelocene to Pliocene provide potential sandstone reservoir maps. These highlight onshore Taranaki and the Eocene paleoshoreline trend as areas of greatest prospectivity. Future activity should also consider the potential of the relatively unexplored late Cretaceous-Paleocene and Pliocene sandstone sequences.

Well Logging in Gas Hydrate-Bearing Sediment: A Review

2012 ◽  
Vol 524-527 ◽  
pp. 1660-1670
Author(s):  
Li Liu ◽  
Guo Sheng Jiang ◽  
Fu Long Ning ◽  
Yi Bing Yu ◽  
Ling Zhang ◽  
...  
Keyword(s):  
Drilling Fluid ◽  
Deep Understanding ◽  
Well Logging ◽  
Great Difficulty ◽  
Hydrate Saturation ◽  
Priority Method ◽  
Integrated Interpretation ◽  
Sonic Logging ◽  
Hydrate Reservoirs ◽  
Harsh Conditions

In exploration for natural gas hydrates, drilling, coring and well logging are the most important access to make deep understanding of the nature of hydrate reservoirs, besides the seismic prospecting methods. Because of the harsh conditions for hydrate stability and the complex of occurrence formations, the drilling and coring generally have a great difficulty and high cost. Therefore, the well logging becomes the priority method. The resistivity and sonic logging method, which were applied as the earliest logging method in the evaluation of hydrate reserviors, have been continuously applied ever since and the evaluation results derived from them have a relative accuracy and reliability. Other logging tools, such as borehole imaging, density, electromagnetic, nuclear magnetic resonance, etc. are also used to make integrated interpretation and evaluation for the hydrate reservoirs. Until now the applied porosity and hydrate saturation evaluation models are better suitable to the homogeneous reservoirs. However, they still need to be amended or improved for the anisotropism (e.g., fracture sediment) and shale-rich reservoirs. In addition, the external factors such as drilling fluid washout and invasion will also affect the well logging results. The combination of various well logging methods is an effective way to improve the accuracy of identification and quantification of hydrate reservoirs.

scholarly journals Assessing hydrocarbon prospects in Abu Madi formation using well logging data in El-Qara field, Nile Delta Basin, Egypt

2021 ◽  
Author(s):  
Mohammad Abdelfattah Sarhan
Keyword(s):  
Water Saturation ◽  
Nile Delta ◽  
Total Porosity ◽  
Well Logging ◽  
Effective Porosity ◽  
Normal Faults ◽  
Production Test ◽  
Hole Pressure ◽  
Bottom Hole Pressure ◽  
Bottom Hole

AbstractIn this work, the petrophysical properties of Abu Madi reservoir in El-Qara Field at northern Nile Delta Basin (NDB) were evaluated depending on well logging data of two wells: El-Qara-2 and El-Qara-3. This evaluation revealed that in El-Qara-2 well, the promising gas zone is detected between depths of 3315 and 3358 m, while in El-Qara-3 well, the best gas interval is detected between depths of 3358 and 3371 m. In addition to the production test parameters (gas rate, condensate rate, gas gravity, condensate gravity, gas-to-oil ratio, flowing tubing head pressure, flowing bottom hole pressure, and static bottom hole pressure), the calculated petrophysical parameters (shale volume, total porosity, effective porosity, and water saturation) for both intervals were relatively similar. This confirms that the investigated wells were drilled at the same reservoir interval within Abu Madi Fm. The depth variation in the examined zones was attributed to the presence of buried normal faults between El-Qara-2 and El-Qara-3 wells. This observation may be supported from the tectonic influence during the deposition of Abu Madi Fm. as a portion of the Messinian syn-rift megasequence beneath the NDB.

Delineation of Hydrocarbon with Variation of Overburden Thickness for Sea Bed Logging Applications

2014 ◽  
Vol 875-877 ◽  
pp. 1069-1075
Author(s):  
Hanita Daud ◽  
Sagayan Vijanth ◽  
Muizuddin Talib Ahmad
Keyword(s):  
Sea Water ◽  
Low Frequency ◽  
Water Layer ◽  
Simulation Software ◽  
High Resistivity ◽  
Study Behavior ◽  
Hydrocarbon Reservoir ◽  
Sea Bed ◽  
Overburden Thickness ◽  
Horizontal Electric Dipole

There are various methods being used to model and study behavior of electromagnetic (EM) waves in controlled source electromagnetic (CSEM) environment. Sea Bed logging (SBL) is using CSEM technique in detecting and characterizing hydrocarbon bearing reservoirs in deep water areas. It uses a mobile horizontal electric dipole (HED) source called transmitter that transmits low frequency of 0.1Hz to 10Hz, 30m - 40m above sea bed and an array of seafloor electric field receivers. These signals depend on the resistivity structure beneath the sea bed as hydrocarbon is known to have high resistivity value of 30 500 Ωm in contrast to sea water layer of 0.5 2 Ωm and sediments of 1-2 Ωm. Array of seafloor receivers detect EM energy that propagates through the sea and subsurface. Data collected is used for processing and modeling purposes to predict depth of resistive bodies. In this paper, synthetics data generated from developed simulator that is able to replicate SBL environment is compared to synthetics data generated from Computer Simulation Software (CST) and COMSOL software with same parameter setting to study trends between them. Percentage differences between data with hydrocarbon and without hydrocarbon are calculated and comparisons are made. Overburden thickness is varied from 1000m to 3000m (incremented by 500m) at frequency of 0.125Hz. It was found that all the data generated either from simulator, CST software and COMSOL showing the same trends. From these findings it shall conclude that the simulator is a reliable tool to model any sea bed logging environment and predicting present of hydrocarbon reservoir in SBL environment.

Analysis on Basic Conditions and Main Control Factors of Accumulation in Eastern Area of Yishan Slope of Ordos Basin

2012 ◽  
Vol 524-527 ◽  
pp. 10-15
Author(s):  
Bao Hong Shi ◽  
Juan Wang ◽  
Yan Zhang
Keyword(s):  
Ordos Basin ◽  
Petroleum Reservoirs ◽  
Delta Front ◽  
Eastern Area ◽  
Delta Plain ◽  
Hydrocarbon Reservoir ◽  
Control Factors ◽  
Cap Rock ◽  
And Migration ◽  
Sand Bodies

The group of reservoir and cap-rock in Chang4+5 and Chang6 has good basic conditions of accumulation in eastern area of Yishan Slope of Ordos Basin, because it located up the high quality sources rocks (Chang7) and had a lot of hydrocarbon migrated from western areas. The reservoirs were the sand bodies formed in the distributary channels of delta plain and subaqueous distributary channels of delta front. The cap-rocks were the mudstones and compacted siltites formed in the floodplain and interdistributary areas.They composed lithologic traps. The types of petroleum reservoirs belong to lithologic hydrocarbon reservoir. The distribution of oil layers controlled by depositional microfacies and the excellent quality group of reservoir and cap-rock and migration conditions.

Study on the Distribution Characteristics of Formation Water in Tight Sandstone Gas Reservoirs of the Shan 23 Member in the Zizhou Gas Field of Ordos Basin

2017 ◽  
Vol 10 (1) ◽  
pp. 1-12
Author(s):  
Liu Zhidi ◽  
Zhao Jingzhou ◽  
Sun Jiaxing ◽  
Zhang Peng ◽  
Chang Xuetong
Keyword(s):  
Bottom Water ◽  
Ordos Basin ◽  
Water Layer ◽  
Well Logging ◽  
Distribution Area ◽  
Formation Water ◽  
Gas Reservoirs ◽  
Gas Field ◽  
Lower Structure ◽  
Water Residue

To effectively formulate a scheme for the development of gas reservoirs, the distribution of formation water in the Shan 23 member of the Zizhou gas field of the Ordos basin in China was studied in depth, making full use of data covering formation water, logging and production. The study concluded that the types of formation water of the Shan 23 member in the Zizhou gas field are edge (bottom) water, lenticular water and formation water residue. The edge (bottom) water in the Shan 23 member is mainly distributed in three regions with low structures in the west, south and southeast of the area, respectively, to the well areas of Y47-Y29-Y43, Y64-Y40 and Y69. This layer is generally interpreted as a water layer by well logging and produces a large amount of water discharge in the processes of gas testing and production. The lenticular water in the Shan 23 member is mainly scattered in the middle and southern parts of the area and is generally interpreted as a water layer by well logging, mainly in small water bodies. The typical production characteristics of gas wells that produce formation water residue in a gas reservoir are as follows: With less water production, the gas saturation is high, and there is no obvious information about the water layer in the logging curves. However, during production, there is trace formation water, and as production continues, this part of the water is taken out. The edge (bottom) water is distributed in the lower structure of the area and is mainly distributed in the southwest part of the area. It is clearly controlled by the structure, especially the low-amplitude structure; thus, structure is more important for the control of edge (bottom) water. Structural characteristics have some influence on the lenticular water and the formation water residue in gas reservoirs. The position of the lower structure is the main area that enriches water. In a relatively independent region containing gas, the position of the lower micro structure is also a common distribution area of water. In addition, a larger water body often forms at the pinchout and the bend of a sand body.

Facies analysis by integrating 3D seismic attributes and well logs for prospect identification and evaluation — A case study from Northwest China

2017 ◽  
Vol 5 (2) ◽  
pp. SE61-SE74 ◽  
Author(s):  
Xingjian Wang ◽  
Bo Zhang ◽  
Tao Zhao ◽  
Junbo Hang ◽  
Hao Wu ◽  
...  
Keyword(s):  
Facies Analysis ◽  
Northwest China ◽  
Seismic Attributes ◽  
Horizontal Distribution ◽  
Seismic Facies ◽  
Well Logs ◽  
Network Clustering ◽  
Hydrocarbon Reservoir ◽  
Sedimentary Cycle ◽  
Sand Bodies

Characterization of facies within a hydrocarbon reservoir is essential for potential prospect identification and evaluation. We have developed a practical workflow that integrates poststack seismic attributes and well-log facies analysis to understand the development and depositional setting of the Triassic-age Akekule Formation in Tahe field, Northwest China. The workflow begins with sequence and sedimentary cycle analysis on selected benchmark wells. We then identify sand bodies within each sedimentary cycle using well logs. The analysis from well logs and drilling cuttings together illustrate that there exist five sand bodies within the fourth member of Akekule Formation. We next predict the horizontal distribution of each sand body based on the facies analysis on well logs. We finally perform multiple poststack seismic attributes analyses to identify seismic facies. Multiattribute analysis is implemented either through corendering multiple seismic attributes or neural network clustering on multiple seismic attributes. The lithofacies obtained from seismic attribute analysis is calibrated with facies identified using well logs.

scholarly journals ANALISIS PETROFISIKA DAN PENYEBAB LOW RESISTIVITY RESERVOIR ZONE BERDASARKAN DATA LOG, SEM, XRD DAN PETROGRAFI PADA LAPANGAN X SUMATERA SELATAN

2020 ◽  
Vol 4 (2) ◽  
pp. 31-46
Author(s):  
Rita Aprilia ◽  
Ordas Dewanto ◽  
Karyanto Karyanto ◽  
Aldis Ramadhan
Keyword(s):  
Oil And Gas ◽  
Water Saturation ◽  
Water Reservoir ◽  
Water Layer ◽  
Research Area ◽  
Low Resistivity ◽  
Hydrocarbon Reservoir ◽  
Gas Layer ◽  
Data Log ◽  
Resistivity Log

Hydrocarbon reservoir zone located on Low Resistivity is a typical and hidden oil and gas layer which always wrong in assessing as a water layer due to the complex geological origin and resistivity log limitation in identifying hydrocarbon. Presence of shale in a reservoir will decreasing resistivity value and increasing saturation value, so it can cause the results of the analysis to be pessimistic in the identification of hydrocarbons. In that case need to do analysis to core data on research area in order to know the cause of Low Resistivity on reservoir zone that having a probability of hydrocarbon content. Reservoir zone that has low resistivity value is at depth 1572-1577 mD. In this zone, it has a low resistivity value around 2.7- 4.4 ohm-m, with water saturation value around 47%-74% which causes on Low Resistivity reservoir zone to be between hydrocarbons and water reservoir zone. Then, on this research, Low Resistivity is also caused by Lamination Clay of shale type presence which consists of several types of Clay which can cause reservoir zone is at low resistivity value. This Clay type consist of Kaolite 20%, Illite 4%, and Chlorite 4% minerals as well as the presence of other minerals as proponent of low resistivity that is Quartz 60%, Plagioclase 9% and Calcite 3% as conductive minerals.

scholarly journals Sedimentological studies of the fluviatile-shallow marine Upper Triassic to Lower Jurassic succession in Jameson Land, East Greenland

1988 ◽  
Vol 140 ◽  
pp. 76-79
Author(s):  
G Dam
Keyword(s):  
Lower Jurassic ◽  
Upper Triassic ◽  
British Petroleum ◽  
East Greenland ◽  
Research Fellowship ◽  
Hydrocarbon Reservoir ◽  
Fellowship Programme ◽  
Order Of Magnitude ◽  
Petroleum Development ◽  
Sand Bodies

A three-year research fellowship programme supported by British Petroleum Development, London, was initiated in the summer of 1987. The main subject of the study is the Upper Triassic to Lower Jurassic succession in Jameson Land, East Greenland. This stratigraphic interval includes the Kap Stewart and the Neill Klinter Formations which have many features in common with some of the largest coeval hydrocarbon reservoir formations known in N.W. Europe (e.g. Statfjord fieid). The core of the project is a lithofacies analysis but ichnology, palynology, source-rock analyses and porosity/permeability analyses will be included where relevant. If possible, corresponding intervals from the Norwegian continental shelf will be included in the project. The aim of the project is: (1) to provide detailed and regional facies models for the two formations. Special stress wiIl be laid on the physical stratigraphic relations in order to ascertain if regional unconformities are present and what order of magnitude they may represent. (2) to establish a reservoir geological model which might help in the understanding of comparable reservoirs in the Norwegian-Greenland region. Particulal' attention will be paid to the geometry ofindividual sand bodies.

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