Abstract: A process for converting a first hydrocarbon feed stream to one or more liquid transportation fuels in a petroleum refinery where the feed stream is analyzed by at least one analytical method to produce data that is transformed to wavelet coefficients data. A pattern recognition algorithm is trained to recognize subtle features in the wavelet coefficients data that are associated with an attribute of the feed stream. The trained pattern recognition algorithm then rapidly classifies potential hydrocarbon feed streams as a member of either a first group or a second group where the second group comprises hydrocarbon feed streams where the attribute or chemical characteristic at or above a predetermined threshold value. This classification allows rapid decisions to be made regarding utilization of the feedstock in the refinery that may include altering at least one variable in the operation of the refinery.

Abstract: A process for converting a first hydrocarbon feed stream to one or more liquid transportation fuels in a petroleum refinery where the feed stream is analyzed by at least one analytical method to produce data that is transformed to wavelet coefficients data. A pattern recognition algorithm is trained to recognize subtle features in the wavelet coefficients data that are associated with an attribute of the feed stream. The trained pattern recognition algorithm then rapidly classifies potential hydrocarbon feed streams as a member of either a first group or a second group where the second group comprises hydrocarbon feed streams where the attribute or chemical characteristic at or above a predetermined threshold value. This classification allows rapid decisions to be made regarding utilization of the feedstock in the refinery that may include altering at least one variable in the operation of the refinery.

Abstract: A process for producing liquid transportation fuels in a petroleum refinery while preventing or minimizing corrosion of refinery process equipment. Spectral data selected from mid-infrared spectrometry, nuclear magnetic resonance spectrometry, or both is obtained and converted to wavelets coefficients data. A pattern recognition genetic algorithm is then trained to recognize subtle features in the wavelet coefficients data to allow classification of crude samples into one of two groups based on corrosion propensity. One of several actions is taken depending upon the measured corrosion propensity of the potential feed stock in order to prevent or minimize corrosion while producing one or more liquid hydrocarbon fuels.

Abstract: Embodiments of the present disclosure generally relate to methods for preparing carbon materials which can be used in battery electrodes. More specifically, embodiments relate to methods for preparing nano-ordered carbon products used as anode materials in metal-ion batteries, such as a sodium-ion battery. In one or more embodiments, a method for preparing a nano-ordered carbon is provided and includes exposing a liquid refinery hydrocarbon product to a first functionalization agent to produce a first solid functionalized product during a first functionalization process and purifying the first solid functionalized product during a purification process. The method also includes exposing the first solid functionalized product to a second functionalization agent to produce a second solid functionalized product during a second functionalization process and carbonizing the second solid functionalized product to produce a solid nano-ordered carbon product during a carbonization process.

Abstract: Embodiments of the present disclosure generally relate to methods for preparing carbon materials which can be used in battery electrodes. More specifically, embodiments relate to methods for preparing nano-ordered carbon products used as anode materials in metal-ion batteries, such as a sodium-ion battery. In some embodiments, a method includes fractioning an initial refinery hydrocarbon product during a fractionation process to produce a liquid refinery hydrocarbon product and a heavy refinery hydrocarbon product. The method includes exposing either or both refinery hydrocarbon products to a first functionalization agent to produce a first solid functionalized product during a first functionalization process and purifying the first solid functionalized product during a purification process.

Abstract: A process for producing liquid transportation fuels in a petroleum refinery while avoiding the usage of crude oil feed stock that characterized by a fouling thermal resistance having the potential to foul refinery processes and equipment. Spectral data selected from NIR, NMR or both is obtained and converted to wavelets coefficients data. A genetic algorithm (or support vector machines) is then trained to recognize subtle features in the wavelet coefficients data to allow classification of crude samples into one of two groups based on fouling potential. Rapid classification of a potential crude oil feed stock according to its fouling potential prevents the utilization of feed stocks characterized by increased fouling potential in a petroleum refinery to produce liquid transportation fuels.

Abstract: Processes for preventing or minimizing the rate of upgrading catalyst deactivation in a petroleum refinery, preventing or minimizing the rate of silicone-containing deposits within refinery process equipment, or both utilizing high-field proton nuclear magnetic spectroscopy (NMR) to rapidly measure concentrations of polydimethylsiloxanes (PDMS) and its thermal degradation products in potential refinery feed stock and refinery intermediate streams with high sensitivity and precision.

Abstract: A process for producing liquid transportation fuels in a petroleum refinery while avoiding the usage of crude oil feed stock that characterized by a fouling thermal resistance having the potential to foul refinery processes and equipment. Spectral data selected from NIR, NMR or both is obtained and converted to wavelets coefficients data. A genetic algorithm (or support vector machines) is then trained to recognize subtle features in the wavelet coefficients data to allow classification of crude samples into one of two groups based on fouling potential. Rapid classification of a potential crude oil feed stock according to its fouling potential prevents the utilization of feed stocks characterized by increased fouling potential in a petroleum refinery to produce liquid transportation fuels.

Abstract: A facial image processing method and apparatus, an electronic device and a computer readable storage medium. The facial image processing method comprises: acquiring an image to be processed; detecting whether a facial image exists in the image to be processed; in response to the detected facial image, carrying out a first processing on the facial image to obtain a first image; and obtaining depth information, and adding the depth information to the first image to obtain a processed image. According to the method, the image depth information can be added after the image is processed, such that the image has a stereoscopic impression and the user operation is simplified.

Abstract: There are provided an image processing method, an image processing device, a hardware device for image processing, a computer readable storage medium, and an image processing terminal. The image processing method includes: recognizing eye key points on a face image; performing interpolation to obtain auxiliary key points, where the auxiliary key points and the eye key points form a first triangulation mesh at a predetermined eye position on the face image; and transforming, based on the first triangulation mesh, an eye makeup effect image to the predetermined eye position.

Abstract: There are provided an image processing method, an image processing device, a hardware device for image processing, a computer readable storage medium, and an image processing terminal. The image processing method includes: recognizing eye key points on a face image; performing interpolation to obtain auxiliary key points, where the auxiliary key points and the eye key points form a first triangulation mesh at a predetermined eye position on the face image; and transforming, based on the first triangulation mesh, an eye makeup effect image to the predetermined eye position.

Abstract: A facial image processing method and apparatus, an electronic device and a computer readable storage medium. The facial image processing method comprises: acquiring an image to be processed; detecting whether a facial image exists in the image to be processed; in response to the detected facial image, carrying out a first processing on the facial image to obtain a first image; and obtaining depth information, and adding the depth information to the first image to obtain a processed image. According to the method, the image depth information can be added after the image is processed, such that the image has a stereoscopic impression and the user operation is simplified.