CN-121995039-A - Screening method of thin oil in thin viscosity reducing

CN121995039ACN 121995039 ACN121995039 ACN 121995039ACN-121995039-A

Abstract

The application provides a screening method of thin oil in thin oil blending viscosity reduction, and relates to the technical field of thick oil thin oil blending viscosity reduction. The method comprises the steps of obtaining a gas concentration curve of each normal alkane sample, each quasi-component sample, a thick oil sample to be doped and each thin oil sample, determining a standard curve according to the gas concentration curve of each normal alkane sample and the average carbon number information, respectively determining the average carbon number information of each quasi-component sample, the average carbon number information of the thick oil sample to be doped and the average carbon number information of each thin oil sample according to the gas concentration curve of each sample by the standard curve, determining an average carbon number interval according to the average carbon number information of each quasi-component sample and the blending experimental result, and determining a target thin oil sample according to the average carbon number interval, the average carbon number information of the thick oil sample to be doped and the average carbon number information of each thin oil sample. The method of the application realizes the technical effect of improving the accuracy of screening thin oil.

Inventors

ZHAO RENBAO
YUAN YUAN
HE JINTANG

Assignees

中国石油大学(北京)

Dates

Publication Date: 20260508
Application Date: 20241104

Claims (10)

1. A screening method of thin oil in thin viscosity reducing is characterized by comprising the following steps: Obtaining a gas concentration curve of each normal alkane sample, each quasi-component sample, a to-be-doped thin oil sample and each thin oil sample; Determining a standard curve according to the gas concentration curve and the average carbon number information of each normal alkane sample; The standard curve respectively determines the average carbon number information of each quasi-component sample, the average carbon number information of the thick oil sample to be doped and the average carbon number information of each thin oil sample according to the gas concentration curve of each sample; determining an average carbon number interval according to the average carbon number information of each quasi-component sample and the blending experimental result; and determining a target thin oil sample according to the average carbon number interval, the average carbon number information of the thick oil sample to be mixed and the average carbon number information of each thin oil sample.
2. The method of claim 1, wherein determining a standard curve from a plurality of gas concentration curves and a plurality of average carbon number information comprises: Under the preset experimental conditions, each normal alkane sample is subjected to a reaction experiment in a combustion pond experimental device until the experimental temperature meets a first preset threshold value, and experimental time information and produced gas concentration information of each normal alkane sample are obtained, wherein the produced gas comprises CO and CO 2 ; Obtaining a gas concentration curve of each normal alkane sample according to the experimental time information and the gas concentration information; Integrating the gas concentration curve to obtain gas generation molar quantity information of each normal alkane sample; and performing data fitting on the plurality of gas generation molar quantity information and the plurality of average carbon number information to obtain correlation coefficient information and an initial standard curve, and determining the standard curve until the correlation coefficient information meets a second preset threshold value.
3. The method according to claim 2, wherein the standard curve is used for respectively determining the average carbon number information of each quasi-component sample, the average carbon number information of the to-be-doped thin oil sample and the average carbon number information of each thin oil sample according to the gas concentration curve of each sample, and comprises the following steps: integrating the gas concentration curve of each quasi-component sample to obtain gas generation molar quantity information of each quasi-component sample; Integrating the gas concentration curve of the thick oil sample to be doped to obtain gas generation molar quantity information of the thick oil sample to be doped; Integrating the gas concentration curve of each thin oil sample to obtain gas generation molar quantity information of each thin oil sample; Substituting the gas generation molar quantity information of each quasi-component sample, the gas generation molar quantity information of the to-be-doped thickened oil sample and the gas generation molar quantity information of each thickened oil sample into the standard curve respectively, and determining the average carbon number information of each quasi-component sample, the average carbon number information of the to-be-doped thickened oil sample and the average carbon number information of each thickened oil sample.
4. The method of claim 3, wherein determining the average carbon number interval based on the average carbon number information and blending experiment results for each of the samples of the quasi-composition comprises: Judging whether the average carbon number information of each quasi-component sample is higher than a preset threshold value, if yes, taking a heavy quasi-component sample, and if not, taking a light quasi-component sample, wherein the number of the heavy quasi-component samples is N, N is a positive integer, the number of the light quasi-component samples is M, and M is a positive integer; Determining a plurality of blending schemes according to the N heavy quasi-component samples and the M light quasi-component samples, wherein each heavy quasi-component sample corresponds to the M blending schemes, and each blending scheme corresponds to an average carbon number ratio; mixing each mixing scheme according to a mixing experimental device according to preset mixing conditions to obtain a mixing experimental result of each mixing scheme; obtaining blending index information of each blending scheme according to the blending experimental result; and determining the average carbon number interval according to the blending index information.
5. The method of claim 4, wherein said determining said average carbon number interval from said blending index information comprises: The M blending schemes corresponding to each heavy quasi-component sample determine initial average carbon number ratio intervals according to the blending index information, wherein each heavy quasi-component sample corresponds to one initial average carbon number ratio interval, and the total number of the initial average carbon number ratio intervals is N; Determining an initial average carbon number interval corresponding to each average carbon number ratio interval, wherein the number of the initial average carbon number intervals is N; And determining an average carbon number interval according to preset conditions in the N initial average carbon number intervals.
6. The method of claim 5, wherein the determining a target thin oil sample from the average carbon number interval, the average carbon number information of the thin oil samples to be blended, and the average carbon number information of each thin oil sample comprises: respectively determining difference information between the average carbon number information of the thick oil sample to be doped and the average carbon number information of each thin oil sample; judging whether each piece of difference information is within the average carbon number interval, if so, taking the thin oil sample corresponding to the difference information as a target thin oil sample.
7. The screening equipment for the thin oil in the thin viscosity reduction is characterized by comprising a combustion pool experimental device, a mixing experimental device and a data acquisition device; The combustion pool experimental device is used for carrying out combustion reaction experiments on each normal alkane sample, each quasi-component sample and a to-be-mixed thick oil sample; The blending experiment device is used for mixing the heavy quasi-component sample and the light quasi-component sample according to preset blending conditions to obtain a blending experiment result of each blending scheme; The data acquisition equipment is used for acquiring and processing the gas concentration information of the combustion pool experimental device and determining a target thin oil sample according to the average carbon number interval, the average carbon number information of the thin oil sample to be doped and the average carbon number information of each thin oil sample.
8. The screening device for the thin oil doped in the thin viscosity reducing process according to claim 7, wherein the combustion tank experimental device comprises a combustion tank, a gas cylinder, a temperature controller and a gas analyzer; The temperature controller is used for controlling the reaction temperature in the combustion pool; The gas cylinder is used for storing gas and inputting the gas into the combustion tank; The combustion pool is used for carrying out a combustion reaction experiment on each normal alkane sample, each quasi-component sample and a to-be-doped thin oil sample; the gas analyzer is used for collecting gas concentration information of each normal alkane sample, each quasi-component sample, a to-be-doped thin oil sample and each thin oil sample reacted in the combustion tank.
9. The screening device for blending thin oil in viscosity reduction according to claim 7, wherein the blending experiment device comprises a blending device and a measuring device; The blending device is used for mixing the heavy quasi-component sample and the light quasi-component sample in each blending scheme according to preset blending conditions; The measuring device is used for measuring the viscosity information of each time point of each blending scheme at preset time intervals.
10. The thin oil in viscosity reducing and mixing screening apparatus of claim 9, wherein the data acquisition apparatus is configured to: Determining a gas concentration curve of each normal alkane sample, each quasi-component sample, each to-be-doped thin oil sample and each thin oil sample by utilizing the gas concentration information; Determining a standard curve, and determining average carbon number information of each quasi-component sample, each to-be-blended thickened oil sample and each diluted oil sample according to the standard curve; determining a viscosity curve of each blending scheme by utilizing a plurality of viscosity information, and determining blending index information according to the viscosity curve; And determining an average carbon number interval according to the average carbon number information and the blending index information of each quasi-component sample.

Description

Screening method of thin oil in thin viscosity reducing Technical Field The application relates to the technical field of thin viscosity reduction of thick oil, in particular to a method for screening thin oil in thin viscosity reduction. Background The thickened oil is used as an important part of global oil gas resources and has the characteristic of high viscosity. The prior art method for reducing viscosity of the thick oil comprises the steps of heating for reducing viscosity, reducing viscosity by microorganisms and reducing viscosity by mixing with thin oil. The method for reducing viscosity by mixing thin oil is simple and convenient to operate and is widely applied to reducing viscosity of thick oil, and the core method is characterized in that the viscosity of the thick oil is reduced by mixing thin oil into the thick oil, the fluidity of the thick oil is improved, the yield of an oil well is further improved, the density of the thick oil can be obviously reduced while the viscosity of the thick oil is reduced by mixing thin oil and reducing viscosity, the relative density difference of oil and water is improved, and the dehydration in the subsequent refining process is facilitated. At present, when thin oil is screened by doping thin viscosity reduction, a laboratory test method is mostly adopted, the thin oil sample is required to be analyzed for key indexes such as viscosity, density, sulfur content, impurity content and the like, the compatibility of the thin oil and thick oil is measured, and adverse reaction or sediment can not be generated after the thin oil sample and the thick oil are mixed. Therefore, the prior art has the technical problems that the method for screening the thin oil in the thin oil mixing viscosity reduction process is to be perfected, the accuracy of the thin oil screening is low, and the applicability is poor. Disclosure of Invention The application provides a screening method of thin oil in thin-doped viscosity reduction, which is used for solving the technical problems of low task processing efficiency and unreasonable distribution mechanism in the prior art. In a first aspect, the present application provides a method for screening a thin oil in viscosity reduction by doping thin oil, the method comprising: Obtaining a gas concentration curve of each normal alkane sample, each quasi-component sample, a to-be-doped thin oil sample and each thin oil sample; determining a standard curve according to the gas concentration curve and the average carbon number information of each normal alkane sample; The standard curve respectively determines the average carbon number information of each quasi-component sample, the average carbon number information of the thick oil sample to be doped and the average carbon number information of each thin oil sample according to the gas concentration curve of each sample; Determining an average carbon number interval according to the average carbon number information of each quasi-component sample and the blending experimental result; and determining a target thin oil sample according to the average carbon number interval, the average carbon number information of the thin oil sample to be mixed and the average carbon number information of each thin oil sample. Optionally, determining a standard curve from the plurality of gas concentration curves and the plurality of average carbon number information includes: Under the preset experimental conditions, each normal alkane sample is subjected to a reaction experiment in a combustion pond experimental device until the experimental temperature meets a first preset threshold value, and experimental time information and produced gas concentration information of each normal alkane sample are obtained, wherein the produced gas comprises CO and CO 2; Obtaining a gas concentration curve of each normal alkane sample according to the experimental time information and the gas concentration information; Integrating the gas concentration curve to obtain gas generation molar quantity information of each normal alkane sample; And performing data fitting on the plurality of gas generation molar quantity information and the plurality of average carbon number information to obtain correlation coefficient information and an initial standard curve, and determining the standard curve until the correlation coefficient information meets a second preset threshold value. Optionally, the standard curve respectively determines average carbon number information of each quasi-component sample, average carbon number information of a thick oil sample to be doped and average carbon number information of each thin oil sample according to a gas concentration curve of each sample, and the standard curve comprises the following steps: Integrating the gas concentration curve of each quasi-component sample to obtain gas generation molar quantity information of each quasi-component sample; integrating the gas concentration curves