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The abundance of petroleum resource is influenced by various factors and involves complex parameters and extensive data. Consequently, traditional geostatistical methods often lack precision in quantitative prediction. To address this issue, this study focuses on the third member of Paleogene Shahejie Formation (member Es3) in the Wenliu area of the Dongpu Sag and utilizes a multi-layer perceptron neural network (MLP) for predicting petroleum resource abundance and employed the Boosting ensemble learning algorithm to optimize the prediction model. The MLP and MLP-Boosting algorithm models were test on 66 sample groups, yielding correlation coefficients of 0.789 and 0.989 for the training set, 0.618 and 0.825 for the validation set and 0.689 and 0.845 for the test set. The analysis identified effective thickness, average permeability and effective porosity are the most significant geological factors influencing petroleum resource abundance, with importance coefficients of 33.93%, 20.12% and 19.53%, respectively. Other factors such as trap area, surface crude oil density and sedimentary facies assignment were found to be less influential. Overall, the Boosting ensemble learning algorithm significantly enhanced the prediction accuracy of the multi-layer perceptron model, offering valuable insights for target optimization, exploration planning and petroleum resource evaluation in other blocks in the sag.

To investigate the effects of millet flour on the farinaceous properties, viscoelastic properties and noodle quality of wheat dough, and the correlation analysis between dough rheological properties and noodle quality. Millet flour was added in the proportion of 0%, 10%, 20%, 30% and 40% to wheat flour, and the rheological properties of dough, cooking properties and texture properties of noodles with different amounts of millet flour were determined. The results showed that the weakening degree, elastic modulus and viscosity modulus of the dough, the breaking rate and the cooking loss rate of the noodles increased with the increase of the amount of millet flour; while the water absorption rate, stabilization time and forming time of the dough, the cohesion, recovery, stretching force and stretching distance of noodles showed a downward trend. When the addition amount of millet flour was 20%, the hardness, stickiness and chewiness of noodles were 777.8 g, 637.7, and 588.06, respectively, which were optimal compared with other additions of millet flour. The elastic modulus, viscous modulus and weakening degree of millet-wheat mixed flour dough were negatively correlated with the stretching force and stretching distance of the noodles, which proved the application potential of millet flour in the directional change of noodle quality.

The biogas of Quaternary weak diagenetic shale has a wide exploration prospect, and the understanding of pore structure and physical properties of these shales is conducive to promote the geological theory of shale biogas reservoir. The Quaternary weak diagenetic shale from the Sanhu area of Qaidam Basin was employed as an example in this study, to study the pore structure and physical properties by the means of scanning electron microscopy, thin section observation, X-ray diffraction of whole-rock samples, overpressure pore permeability determination, relative permeability of gas-water etc. Results show that there are three types of lithofacies for the Quaternary weak diagenetic shales including clay shales, mixed shales and felsic shales, and pores appeared to include intergranular pores, inner pores of brittle mineral grains, inner pores of clay mineral grains and organic pores. The pore size of felsic shale is large, mainly micron pores. The pore size of clay shale and mixed shale are dominated by nano-scale pores. The peak porosity and permeability of Quaternary weak diagenetic shale distribute in the range of 15%-30% and (0.1-10) ×10-3 μm2, respectively, and significantly reduce under overburden conditions. The residual water saturation after displacement is high (with an average value of 58.7%). Due to clay expansion, the effective pore space is reduced and the fluidity of gas and water is restrained, resulting in very low relative permeability of gas and water in the two-phase co-flow zone.