Chinese Academy of Sciences

State Grid Corporation of China

China Electric Power Research Institute

China Petroleum & Chemical Corporation

Sinopec Beijing Research Institute of Chemical Industry

Pengfei Lv

Guoqiang Xue

Hong Cao

Zexin Zhou

Dingxiang Du

Xingguo Wang

Weiying Chen

Jie Zhang

Zhi Zhang

Lin Xu

Chao Wang

Aimin Liang

Chuanqing Li

Huanzhang Liu

Yarong Guo

Guozhu Yu

Delin Wang

Yong Li

Huiling Liu

Tianhua Li

Guosheng Yang

Siye Ruan

Mingliang Jin

Junjie Xue

Yulian Zhu

A borehole-to-surface near-source transient electromagnetic high-precision exploration method pioneers a BSEM acquisition method, obtained high-precision electrical data is processed and interpreted, which is a technological innovation and breakthrough in applying electrical exploration for gas-water differentiation in low-porosity, low-permeability gas reservoirs. The high-precision electrical gas-water differentiation method serves as a novel and effective gas-water differentiation approach complementary to conventional borehole/well logging and seismic exploration, it enables direct qualitative and quantitative evaluation of gas-bearing targets and is a gas-water differentiation technology that can indicate boundaries and scopes of the gas-bearing targets, thus can provide high-confidence gas-rich target indications for development of borehole pattern arrangement, especially horizontal borehole/well arrangement, and achieve the goal of efficient development with fewer borehole/wells but higher yields. The exploration method achieves both high resolution resistivity of the target formations and large-radius lateral resistivity detection, and serving as an effective geophysical exploration tool for unconventional oil-gas-water detections.

Borehole-to-surface near-source transient electromagnetic high-precision exploration method

Provided are a lithology identification method, a lithology identification device, an electronic apparatus and a non-transitory storage medium. The lithology identification method includes: obtaining a dataset, where the dataset includes feature sets and lithology labels, and each feature of the feature sets corresponds spatially one-to-one with a corresponding one of the lithology labels; performing locality preserving projections (LPP) on the dataset, to thereby obtain a preprocessed dataset; and constructing a machine learning model, and training the machine learning model by using the preprocessed dataset to obtain a recognition model for lithology identification, during a process for training the machine learning model, a distance constraint and a geological constraint are introduced sequentially.

Lithology identification method, lithology identification device, electronic apparatus and non-transitory storage medium

A line current i(k) of an M side of a first direct-current transmission line is collected at a moment k. A line current i(k−t) thereof is collected at k−t. At a moment k, a differential value di(k) of a current of the side of the first direct-current transmission line is calculated according to the line current i(k) and the line current i(k−t). It is determined whether the differential value di(k) of the current meets a protection enabling criteria. If so, direct-current protection for the M side of the first direct-current transmission line is enabled. A line current i(j) of the M side of the first direct-current transmission line is collected at a moment j. A line current i(j−t) thereof is collected at a moment j−t. A differential value di(j) of the current of the M side of the first direct-current transmission line at the moment j is calculated according to the line current i(j) and the line current i(j−t).

Direct-current transmission line protection method and system based on pure current characteristics

A method and device for timing in time-varying distance protection based on multiple lines of a tower. The method includes: collecting an instantaneous current value at a time-varying distance protection installation location in the multiple lines of the tower, and acquiring preset parameters; calculating, according to the preset parameters and a multi-line ranging model, a multi-line ranging result; calculating, according to the preset parameters, the multi-line ranging result, and an adaptive calculation model, time of a section-II distance protection action and final time of a section-III distance protection action; and determining, according to the instantaneous current value, the preset parameters, and a cross-line failure auxiliary criterion model, final time of the section-II distance protection action.

Method and device for timing in time-varying distance protection based on multiple lines in tower

Disclosed are catalyst compositions for isoprene polymerization formed from components comprising (A) at least one titanium halide; (B) at least one organic aluminum compound comprising at least one alkyl aluminum of formula AlR, wherein each of the three Rs is independently chosen from linear and branched Calkyl groups; and (C) at least one electron donor comprising at least one polyether compound of formula (I) and/or at least one tetrahydro-furfuryl ether compound of formula (II). Also disclosed are processes for preparation of the catalyst compositions and processes using the catalyst compositions for isoprene polymerization.

Catalysts for polymerization of isoprene and preparations and uses thereof

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Beijing, China

Pengfei Lv