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Crude oil density prediction method based on saturated hydrocarbon biomarker parameters

A technology of biomarkers and prediction methods, applied in the field of crude oil density prediction based on saturated hydrocarbon biomarker parameters, can solve problems such as large prediction errors

Active Publication Date: 2019-04-02
CHINA NAT OFFSHORE OIL CORP +1
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Problems solved by technology

At present, the surface crude oil density prediction methods in the Bohai Sea area of ​​the Bohai Bay Basin include geological analogy and reservoir rock pyrolysis. The former ignores the influence of different geological conditions on crude oil density, and the latter is susceptible to multi-stage charging and storage. Influenced by the type of laminar fluid, the prediction errors of the two methods are very large

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  • Crude oil density prediction method based on saturated hydrocarbon biomarker parameters
  • Crude oil density prediction method based on saturated hydrocarbon biomarker parameters
  • Crude oil density prediction method based on saturated hydrocarbon biomarker parameters

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[0032] The crude oil density prediction method based on saturated hydrocarbon biomarker parameters of the present invention will be described in detail below with reference to the examples and drawings.

[0033] The crude oil density prediction method based on saturated hydrocarbon biomarker parameters of the present invention uses the normal alkanes and C detected by saturated hydrocarbon gas chromatography mass spectrometry. 29 The correlation between the relative abundance of 25-nor-17α(H), 21β(H)-hopane and the measured surface crude oil density (20°C, the same below) was used to predict the surface crude oil density of oil-bearing intervals without crude oil samples. With the gradual increase of the relative abundance of n-alkanes, the surface crude oil density gradually increases. The former is a quadratic function of the latter, which is used to predict the surface crude oil density of medium and light crude oil. With C 29 The abundance of 25-nor-17α(H) and 21β(H)-ho...

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Abstract

The invention discloses a crude oil density prediction method based on saturated hydrocarbon biomarker parameters, comprising of: collecting crude oil saturated hydrocarbon biomarkers comprising biomarkers of normal paraffin series, terpenoid series, steroid series, and alkyl cyclohexane series for identification and relative quantification; calculating the saturated hydrocarbon parameters of thecrude oil; establishing a fitting formula according to the correlation between the saturated hydrocarbon parameters of the crude oil and the density of ground crude oil; and predicting the density ofthe ground crude oil in a target oil-bearing layer according to the fitting formula. According to the crude oil density prediction method based on the saturated hydrocarbon biomarker parameters, the density of the ground crude oil in the target oil-bearing layer can be predicted through a gas chromatography-mass spectrometry analysis of the saturated hydrocarbon component of the wall core or a small amount of core extract. The crude oil density prediction method based on the saturated hydrocarbon biomarker parameters fits and predicts the segmentations of medium light oil and heavy oil, and has the advantages of being simple to operate, low in cost, high in precision and less in influence factors.

Description

technical field [0001] The invention relates to a crude oil density prediction method. In particular, it relates to a crude oil density prediction method based on saturated hydrocarbon biomarker parameters. Background technique [0002] Geochemistry is one of the supporting professional fields of petroleum exploration. Saturated hydrocarbon components are one of the main components of crude oil and an important factor affecting the density of crude oil on the ground. Saturated hydrocarbon gas chromatography-mass spectrometry is an important technical method for analyzing the relative content of various compounds in crude oil saturated hydrocarbon components, and then judging the characteristics of crude oil and comparing oil sources. Surface crude oil density correlated well with certain crude oil saturates biomarker parameters. [0003] Surface crude oil density is generally obtained through actual measurement, and is an important parameter for calculation of crude oil re...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N9/00G01N30/02G06F17/15
CPCG01N9/00G01N30/02G01N2030/025G06F17/15
Inventor 王军徐长贵牛成民吴奎王清斌张如才王飞龙王冰洁
Owner CHINA NAT OFFSHORE OIL CORP
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