Determination of clay minerals using gamma ray spectroscopy for the Zubair Formation in Southern Iraq

Al-Jafar, Methaq K.; Al-Jaberi, Mohanad H.

doi:10.1007/s13202-021-01371-3

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…stone Many clay minerals, including kaolinite, illite, and chlorite, were found in tight san stone reservoirs, and their presence significantly impacts the quality of the reservoir. T type of clay minerals was determined using a spectral gamma-ray (SGR) log [51,52]. T precise assessment of mineral composition is crucial for enhanced reservoir characteri tion.…”

Section: Mud-bearing Asphaltene Fine-grained Feldspathic Quartz Sands...mentioning

confidence: 99%

Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach

Feng,

Wang,

et al. 2024

JMSE

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A growing number of large data sets have created challenges for the oil and gas industry in predicting reservoir parameters and assessing well productivity through efficient and cost-effective techniques. The design of drilling plans for a high-pressure tight-sand reservoir requires accurate estimations of pore pressure (Pp) and reservoir parameters. The objective of this study is to predict and compare the Pp of Huizhou Sag, Pearl River Mouth Basin, China, using conventional techniques and machine learning (ML) algorithms. We investigated the characteristics of low-permeability reservoirs by observing well-logging data sets and cores and examining thin sections under a microscope. In the reservoir zone, the average hydrocarbon saturation is 55%, and the average effective porosity is 11%. The tight sandstone reservoirs consist of fine- to extremely fine-grained argillaceous feldspathic sandstone. The mean absolute error for reservoir property prediction is 1.3%, 2.2%, and 4.8%, respectively, for effective porosity, shale volume, and water saturation. Moreover, the ML algorithm was employed to cross-check the validity of the prediction of Pp. Combining conventional and ML techniques with the core data demonstrates a correlation coefficient (R2) of 0.9587, indicating that ML techniques are the most effective in testing well data. This study shows that ML can effectively predict Pp at subsequent depths in adjacent geologically similar locations. Compared to conventional methods, a substantial data set and ML algorithms improve the precision of Pp predictions.

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Section: Mud-bearing Asphaltene Fine-grained Feldspathic Quartz Sands...mentioning

confidence: 99%

Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach

Feng,

Wang,

et al. 2024

JMSE

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“…Figure(8) depicts the elemental constituents of the Zubair shale normalized to chondrite and (PAAS) Post Archean Australian Shale[20]. The proportion of the major and trace elements at various specimens is equivalent to that of chondrite and PAAS.…”

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confidence: 99%

Petrography and Geochemistry of Zubair Shale Formation in Rumaila Oilfield, Southern Iraq: Implications for Provenance and Tectonic Setting

Ali

2023

Journal of Petroleum Research and Studies

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A detailed sequential analysis which included thin section petrography, X-ray diffraction, and X-ray fluorescence was applied to investigate the mineral, chemical classifications, provenance, paleo-weathering, paleoclimate, and maturity features of such Zubair oil shale in the Rumaila oilfield in southern Iraq. In core samples and thin sections, the analyzed shales are primarily silty, flaky to subflaky, micaceous, calcareous, well-sorted, poorly cemented, and weakly to moderately compacted silt-grade sandy mudstone. According to XRD analysis, the main mineral is quartz, which is followed by kaolinite, while calcite and dolomite are less common and Illite, Illite/smectite, and pyrite are rarely abundant. Petrographic analysis of the Zubair shales revealed four lithofacies: silty clayey laminated mudstone lithofacies, mica-rich mudstone lithofacies, clay-rich siliceous mudstone lithofacies, and clay-bearing calcareous mudstone lithofacies. Major and trace element concentrations reveal that the oil shales have been formed from felsic rocks such as granodiorite, tonalite, and granite. A passive margin setting was revealed by the tectonic discrimination diagram. Weathering index values like the (CIA) chemical index of alteration, the (PIA) plagioclase index of alteration, and the (CIW) chemical index of weathering imply extensive chemical weathering in the source area. Zubair shales' K2O/Na2O ratio and (ICV) index of compositional variation are uniform with their high maturity. The compositions of mineral and trace elemental ratios, as well as the climatic index "C," indicate a warm to humid subtropical climate with deposition in a shallow oxic and dysoxic environment.

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Fractionation of environmental radioactivity in road dust from a megacity: external and internal health risks

Khan,

Habib,

Tamim

et al. 2024

Environ Sci Pollut Res

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Determination of clay minerals using gamma ray spectroscopy for the Zubair Formation in Southern Iraq

Cited by 4 publications

References 7 publications

Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach

Pore Pressure Prediction for High-Pressure Tight Sandstone in the Huizhou Sag, Pearl River Mouth Basin, China: A Machine Learning-Based Approach

Petrography and Geochemistry of Zubair Shale Formation in Rumaila Oilfield, Southern Iraq: Implications for Provenance and Tectonic Setting

Fractionation of environmental radioactivity in road dust from a megacity: external and internal health risks

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