Petrochina Company Limited

Beijing University of Technology

Kewen Wang

Ning Li

Hongliang Wu

Zhou Feng

Qingfu Feng

Peng Liu

Yusheng Li

Huafeng Wang

Gong Zhang

Changlin Lan

Chen Wang

Haitao Zhang

Lei Xu

Xue Wang

Jiming Zhang

Chuanzhu Leng

Xinfei Song

Gang Xin

Yiming Liu

Xiaoming Yang

Dan Cui

Yujiang Shi

Taiping Zhao

Tao Lv

Baoding Zhu

Binsen Xu

Xiaotao Zhang

Dexin Qiao

Aihong Chen

Zhenzhen Xu

An electroactive bio-carrier module and a sewage treatment device using same are provided, which relate to the field of bioelectrochemistry and sewage treatment. The electroactive bio-carrier module is composed of an anode module and a cathode module made of a conductive material. The anode module is formed by connecting carbon fiber brushes in series and is of a vertically ring type structure; the cathode module is formed by connecting stainless steel meshes in series; the stainless steel meshes are in a folded horizontal stacked design; the anode and cathode modules are connected through an external lead wire to form a circuit. Surfaces of the anode and cathode modules can both enrich microorganisms, biofilms are formed on the surfaces. The electrode module is arranged in an up-flow type sewage treatment device and is used as an electroactive bio-carrier, to form a hybrid sewage treatment device with a built-in electroactive bio-carrier.

Electroactive bio-carrier module and sewage treatment device with same

The present disclosure discloses a marker for screening and distinguishing NFC apple juice based on non-targeted metabolomics and use thereof, relating to the technical field of distinguishing of juice. The marker for distinguishing NFC apple juice disclosed in the present disclosure is selected from the following molecules: gallocatechin, catechin, taxifolin, p-hydroxybenzaldehyde, 5-methoxysalicylic acid, azelaic acid, caffeic acid, chlorogenic acid, epicatechin, eriodictyol, ferulic acid, isoquercitrin, naringenin, n-fructosyl isoleucine, p-coumaraldehyde, p-coumaric acid, phloretin, phlorizin, procyanidin B1, quercetin-3-O-galactoside and rutin. The above markers may be used for distinguishing the NFC apple juice and the FC apple juice, and have relatively high accuracy.

Marker for screening and identifying not-from-concentrate apple juice based on non-targeted metabolomics and use thereof

A gamma ray spectrum unfolding method for elemental capture spectroscopy logging and a device therefor including the steps of first preprocessing the data obtained from an elemental capture spectrometry instrument; constructing a primary element group and an auxiliary element group according to the degree of interactions among the elements via theoretical analysis and numerical calculation of spectrum profiles, characteristic peak channels, and backgrounds of different elements; unfolding by using the least square method based on the construction of the primary element group and the auxiliary element group; and finally reconstructing the spectrum based on theory according to the yield of each element obtained by unfolding with the least square method, and comparing the measured gamma ray spectrum with the reconstructed gamma ray spectrum for error control, thereby improving the spectrum unfolding precision.

Gamma ray spectrum unfolding method for elemental capture spectroscopy logging and device therefor

The present application provides a method and a system for determining a saturation exponent of a heterogeneous carbonate reservoir. The method comprises: dividing a target reservoir into at least two reservoir types in accordance with a predetermined rule; obtaining a correspondence relationship between a saturation exponent and a bound water saturation in each of the reservoir types; determining the reservoir type to which a to-be-measured core belongs in accordance with the predetermined rule; obtaining a bound water saturation of the to-be-measured core; and calculating the saturation exponent of the to-be-measured core according to the bound water saturation of the to-be-measured core on the basis of the correspondence relationship of the reservoir type to which the to-be-measured core belongs.

Method and system for determining heterogeneous carbonate reservoir saturation exponent

The embodiments of the present disclosure disclose a method and an apparatus for determining the permeability of the reservoir. The method comprises: acquiring logging data corresponding to the two zones at least; determining the permeability of a specified zone in the two zones at least based on logging data corresponding to the specified zone, wherein the specified zone represents any one of the two zones at least; setting weight values corresponding to the at least two zones respectively; and determining the permeability of the reservoir based on the weight values and the permeability respectively corresponding to the two zones at least. The technical solutions provided by the embodiments of the present disclosure can improve the accuracy of the determined permeability of the reservoir.

Method and apparatus for determining permeability of reservoir

A method and an apparatus for automatically extracting image features of electrical imaging well logging, wherein the method comprises the steps of: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing and marking a typical geological feature in the electrical imaging well logging image covering the full hole, obtaining a processed image, and determining the processed image as a training sample according to types of the geological features; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample; using the trained deep learning model, recognizing type of a geological feature of an electrical imaging well logging image of a well section to be recognized, and performing morphological optimization processing on the recognition result to obtain a feature optimization recognition result. The solution can automatically, quickly and accurately recognize the typical geological features in the electrical imaging well logging image.

Method for automatically extracting image features of electrical imaging well logging, computer equipment and non-transitory computer readable medium

The present invention provides a stratum component optimization determination method and device, which fall within the technical field of oil-gas exploration well logging. The method comprises: establishing a stratum rock component model according to core analysis data and geological conditions of a stratum to be detected, and determining a well logging curve determined by a participation model; determining a well logging response equation expression corresponding to the well logging curve determined by the participation model; parsing, recording and storing the well logging response equation expression, establishing a target function of an optimization problem, and solving the target function through an iteration algorithm to determine an optimal component content of the stratum to be detected. By establishing the stratum rock component model, determining corresponding well logging response equation, and parsing through an expression parsing method and recording and storing the well logging response equation expression, and then, establishing the target function of the optimization problem, and obtaining the optimal component content of the stratum to be detected through the iteration algorithm, the present invention can not only optimizes the self-defined well logging response equation expression of the user, but achieves a high processing precision.

Stratum component optimization determination method and device

A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.

Method and apparatus for automatically recognizing electrical imaging well logging facies

Disclosed is a method of acquiring the rock component content in a stratum, the method comprising: on the basis of acquired element capture spectroscopy logging data, performing normalization processing on each element yield in the stratum rock components; on the basis of an element yield curve obtained from the normalization processing and a pre-established stratum rock interpretation model, establishing a logging curve response equation set; and utilizing the established logging curve response equation set and an optimization algorithm, calculating the content of a rock component in a stratum. The method and device can directly process element yield data of element capture spectroscopy logging, and can improve the accuracy of calculating the rock component in a stratum.

Method of acquiring rock component content of stratum

The present invention relates to the technical field of well logging interpretation. The present invention provides a method for determining the karst development degree of a reservoir, a computer readable storage medium and a device, and pertains to the technical field of well logging interpretation, the method comprising: extracting vertical denudation pore features and horizontal denudation pore features from electrical imaging logging image data of a undetermined reservoir, and counting well logging feature parameters; determining karst belts of the undetermined reservoir and classifying the karst development degree according to the vertical denudation pore features, the horizontal denudation pore features and the well logging feature parameters; and determining the available reservoir development degree of the undetermined reservoir according to the karst belts and the result of the classified karst development degree. By means of classifying the karst development degree of the undetermined reservoir based on the vertical denudation pore features, the horizontal denudation pore features and the well logging feature parameters extracted from the electrical imaging logging image data, we can quickly and visually identify karst belts in a reservoir and classify the karst development degree. And the discrimination result is consistent with that of cores, which provides important technical supports for exploration and development of an oil-gas field.

Method and device for determining karst development degree of reservoir, computer readable storage medium and device

The present invention provides a method and a device for measuring a formation elemental capture gamma ray spectrum, pertaining to the field of oil-gas exploration and well logging technologies. The method comprises: performing moderation on neutrons emitted from a neutron source according to a neutron capture cross section of a test sample; and adjusting a relative location of the test sample with respect to the neutron source, so that a standard capture gamma ray spectrum of the test sample is measured and obtained at a location where a thermal neutron flux reacting with atomic nucleuses of the test sample reaches a first predetermined value. The present invention performs moderation on a neutron source according to neutron capture cross sections of different test samples to measure and obtain elemental capture gamma ray spectra of the test samples, thereby obtaining various formation elemental capture gamma ray spectra with higher accuracy.

Method and device for measuring formation elemental capture gamma ray spectra

A quantitative calculation method for oil (gas) saturation of fractured reservoir during petroleum exploitation is provided. The method comprises: obtaining the fracture porosity and calculating resistivity index at different depth of fractured reservoir with known full diameter core data and imaging logging data; establishing the percolation network model of matrix and fracture combination with known pore structure feature; calibrating the numerical simulation results obtained from percolation network model based on the data of core experiment and sealed coring analysis results, then obtaining the relationship between the resistivity index (I) and water saturation (Sw) at different fracture porosity; calculating the oil (gas) saturation of fractured reservoir through selecting an interpolation function. The oil (gas) saturation calculated with said method is 0.67, however 0.49 with common method in some fractured reservoir. The accuracy is improved by more than 0.18 in the studied fractured reservoir.

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Beijing, China

Kewen Wang