CN113611371B - Method for judging validity of light hydrocarbon parameters in crude oil associated with natural gas reservoir based on boiling point of light hydrocarbon - Google Patents

Method for judging validity of light hydrocarbon parameters in crude oil associated with natural gas reservoir based on boiling point of light hydrocarbon Download PDF

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CN113611371B
CN113611371B CN202110884960.9A CN202110884960A CN113611371B CN 113611371 B CN113611371 B CN 113611371B CN 202110884960 A CN202110884960 A CN 202110884960A CN 113611371 B CN113611371 B CN 113611371B
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light hydrocarbon
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natural gas
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卢晓林
李美俊
杨程宇
肖洪
王文强
韩秋雅
刘渊
冉子超
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China University of Petroleum Beijing
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Abstract

The invention discloses a method for judging the validity of light hydrocarbon parameters in crude oil associated with a natural gas reservoir based on the boiling point of the light hydrocarbon. The method comprises the following steps: according to whether the difference T between the weighted average value of the boiling points of the constituent denominator light hydrocarbon compounds and the weighted average value of the boiling points of the constituent molecular light hydrocarbon compounds in the natural gas associated oil light hydrocarbon parameters exceeds a critical value K, constructing the following judgment model for judging whether the associated oil light hydrocarbon parameters can accurately represent the natural gas characteristics: if T is less than or equal to K, the light hydrocarbon parameter of the natural gas associated oil is not basically influenced by evaporation fractionation, and the parameter value of the associated oil can effectively represent the localization characteristics of the natural gas; if T is more than K, the light hydrocarbon parameters of the natural gas associated oil are obviously affected by the evaporation fractionation, and larger errors can be generated when the parameter values of the associated oil are used for judging the characteristics of the natural gas. The invention can improve the accuracy of judging the natural gas cause and the maturity by using the light hydrocarbon parameters of the associated oil, and has wide applicability.

Description

Method for judging validity of light hydrocarbon parameters in crude oil associated with natural gas reservoir based on boiling point of light hydrocarbon
Technical Field
The invention relates to a method for judging the validity of light hydrocarbon parameters in crude oil associated with a natural gas reservoir based on the boiling point of the light hydrocarbon, belonging to the field of natural gas cause research.
Background
Light hydrocarbon (C) 1 -C 10 ) Is an important component of crude oil and natural gas, and is widely applied to research on secondary effects of oil gas cause type, maturity, evaporation fractionation and the like. Evaporation fractionation is mainly the process of separating crude oil from natural gas. In many oil and gas fields at home and abroad, natural gas is often produced together with light oil and condensate. In the research process of natural gas causes, the absolute content of light hydrocarbon of associated oil is high and is easier to detect, and the light hydrocarbon parameter of the associated oil is often used for judging the natural gas causes. However, the natural gas cause type and maturity criteria are based on studies of natural gas samplesWhether the established light hydrocarbon parameters of the associated oil can accurately characterize the light hydrocarbon characteristics of the natural gas is still to be further discussed. In other words, after being affected by the evaporation fractionation, the light hydrocarbon parameters of the associated oil are not affected basically, and the natural gas cause type and maturity can still be judged, and a method for judging is still lacking. The boiling point of the compound is an important factor affecting the effect of evaporation fractionation, and it is considered that the difference in boiling point of the compound constituting the light hydrocarbon parameter is significant when the parameter is affected by the effect of evaporation fractionation. The light hydrocarbon parameters are generally composed of the ratio of abundance of various compounds, and the difference of boiling points of different light hydrocarbon compounds is obvious, so that it is difficult to simply judge, and therefore it is necessary to provide a quantitative standard for judging whether the light hydrocarbon parameters are affected by evaporation fractionation or not, so as to improve the reliability of judging the natural gas cause type and maturity by using the light hydrocarbon parameters of associated oil.
Disclosure of Invention
The invention aims to provide a method for judging the validity of light hydrocarbon parameters in crude oil associated with a natural gas reservoir at the boiling point of the light hydrocarbon, which is used for researching the judging of the cause type and maturity of the natural gas by the light hydrocarbon parameters of the associated oil.
At present, the light hydrocarbon parameters of the associated oil are often applied to the judgment of the cause and the maturity of the natural gas, and the judgment standard of the cause and the maturity of the natural gas is established based on the statistics of natural gas samples and is influenced by the evaporation fractionation effect, so that certain difference exists between the light hydrocarbon parameters of the associated oil and the light hydrocarbon parameters of the natural gas. Therefore, it is necessary to establish a judging method to judge whether the light hydrocarbon parameters are significantly affected by the evaporation fractionation before application. Evaporation fractionation is mainly controlled by boiling point, and in addition, the abundance of the compound is also an important factor for controlling the influence of evaporation fractionation. Based on the above knowledge, the invention establishes a judgment model taking the abundance ratio of each compound in the associated oil as a weight and taking the difference value of the weighted average of the boiling points of the compound forming the molecule and the denominator as a standard.
The method for judging the validity of the light hydrocarbon parameters in the crude oil associated with the natural gas reservoir based on the boiling point of the light hydrocarbon provided by the invention comprises the following steps:
according to whether the difference T between the weighted average value of the boiling points of the constituent denominator light hydrocarbon compounds and the weighted average value of the boiling points of the constituent molecular light hydrocarbon compounds in the natural gas associated oil light hydrocarbon parameters exceeds a critical value K, constructing the following judgment model for judging whether the associated oil light hydrocarbon parameters can accurately represent the natural gas characteristics:
if T is less than or equal to K, the light hydrocarbon parameter of the natural gas associated oil is not basically influenced by evaporation fractionation, and the parameter value of the associated oil can effectively represent the localization characteristics of the natural gas;
if T is more than K, the light hydrocarbon parameters of the natural gas associated oil are obviously affected by evaporation fractionation, and larger errors can be generated when the parameter values of the associated oil are used for judging the characteristics of the natural gas.
In the above method, the natural gas associated oil light hydrocarbon parameter is obtained by formula (1):
Figure BDA0003193677240000021
wherein A is 1 ,A 2 ,A 3 ……A m The abundance of the light hydrocarbon parameter denominator compounds in the companion oil is represented, and m represents the number of the compounds composing the denominator in the parameter; b (B) 1 ,B 2 ,B 3 ……B n The abundance of the compounds that constitute the light hydrocarbon parameter molecules in the associated oil is represented, and n represents the number of the compounds that constitute the molecules in the parameter.
In the above method, the difference T between the weighted average of boiling points of the constituent denominator light hydrocarbon compounds and the weighted average of boiling points of the constituent molecular light hydrocarbon compounds is obtained according to the formula (2):
Figure BDA0003193677240000022
wherein T represents the difference between the boiling point weighted average of the constituent denominator and the molecular compound, DEG C; a, a i And b i Respectively represent the weights of the compounds composing the denominator and the molecule of the light hydrocarbon parameter, and a 1 +a 2 +a 3 +……+a m =1,b 1 +b 2 +b 3 +……+b n =1;X i And Y k Respectively represent the components of the light hydrocarbon parameter denominator compound A i And molecular compound B k Is a boiling point of (c).
Specifically, weights of the respective compounds constituting the denominator of the light hydrocarbon parameters are obtained according to the formula (2-1):
Figure BDA0003193677240000023
wherein i=1, 2,3 … … m; a is that 1 ,A 2 ,A 3 ……A m Representing abundance of constituent light hydrocarbon parameter denominator compounds in the associated oil; m represents the number of compounds constituting the denominator in the parameter;
obtaining weights of various compounds composing the light hydrocarbon parameter molecules according to a formula (2-2):
Figure BDA0003193677240000024
wherein k=1, 2,3 … … m; b (B) 1 ,B 2 ,B 3 ……B n The abundance of the compounds that constitute the light hydrocarbon parameter molecules in the associated oil is represented, and n represents the number of the compounds that constitute the molecules in the parameter.
In the method, the light hydrocarbon parameter D with different boiling point differences between the denominator and the molecular compound is obtained according to a series of composition parameters of the natural gas and the associated oil g And D o Normalized value D of (2) g ' and D o ' comparison by comparison, determination of the critical value K (. Degree. C.):
selecting a series of light hydrocarbon ratio parameters D (such as iC) with similar structures and different boiling points, wherein the denominator compound and the molecular compound are single compounds 4 /nC 4 、2-MC 5 /nC 6 、2-MC 6 /nC 7 、iC 5 /nC 5 、3-MC 6 /nC 7 、3-MC 5 /nC 6 、1,1-DMCyC 5 /1,t2-DMCyC 5 、2-MC 5 /3-MC 5 、2-MC 6 /3-MC 6 、1,c3-/1,t2-DMCyC 5 At a ratio ofThe difference between the boiling points of the denominator and the molecular compound is 11.5 ℃, 8.7 ℃, 8.5 ℃, 8.1 ℃, 6.5 ℃, 5.7 ℃, 4.4 ℃, 3.0 ℃, 2.0 ℃ and 1.1 ℃ respectively; then, according to the boiling point difference from large to small, the parameters D are selected one by one, and the light hydrocarbon parameter D of the representative natural gas and the accompanying oil sample is obtained g And D o Normalized calculation is carried out to obtain D g ' and D o ’:
Figure BDA0003193677240000031
Figure BDA0003193677240000032
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If D g ’-D o And the boiling point difference of the denominator compound and the molecular compound of the selected parameter is less than or equal to 0.1, namely the critical value K.
The symbol and boiling point of each light hydrocarbon compound are shown in Table 1.
TABLE 1 common C in crude oil and Natural gas 4 -C 7 Light hydrocarbon compounds and boiling point thereof
Figure BDA0003193677240000033
Figure BDA0003193677240000041
The invention provides a feasible technical method for judging whether the light hydrocarbon parameters are affected by evaporation fractionation, and whether the light hydrocarbon parameters in the crude oil of the natural gas reservoir can effectively represent the geochemical characteristics of the natural gas, can improve the accuracy of judging the causes and maturity of the natural gas by using the light hydrocarbon parameters of the associated oil, and has wide applicability.
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FIG. 1 is a flow chart of the method for judging the validity of light hydrocarbon parameters in crude oil associated with a natural gas reservoir based on the boiling point of the light hydrocarbon.
FIG. 2 is a graph showing the relationship between representative natural gas and associated crude oil sample parameters versus critical value K (. Degree.C.) in accordance with an embodiment of the present invention.
FIG. 3 is a graph showing the index comparison of natural gas and associated oil and cyclohexane for a plurality of wells in accordance with an embodiment of the present invention.
FIG. 4 is a graph showing various light hydrocarbon parameters of natural gas and its associated oil in accordance with an embodiment of the present invention.
Detailed Description
The experimental methods used in the following examples are conventional methods unless otherwise specified.
Materials, reagents and the like used in the examples described below are commercially available unless otherwise specified.
The invention provides a method for judging the validity of light hydrocarbon parameters in crude oil associated with a natural gas reservoir based on the boiling point of the light hydrocarbon, which is shown in a flow chart in figure 1 and comprises the following steps:
step 101: and constructing a judgment model for judging whether the light hydrocarbon parameters of the associated oil can accurately represent the characteristics of the natural gas according to whether the difference T (DEG C) of the weighted average values of the constituent denominators and the boiling points of the molecular light hydrocarbon compounds in the light hydrocarbon parameters of the associated oil of the natural gas exceeds a critical value K (DEG C). If T is less than or equal to K, the parameter P is not basically influenced by evaporation fractionation, and the parameter value of the associated oil can effectively represent the localization characteristics of the natural gas; if T is more than K, the parameter P is obviously affected by evaporation fractionation, and larger errors can be generated when the parameter value of the associated oil is used for judging the natural gas cause and the maturity.
Step 102: determining the weight a of each compound composing the denominator of the light hydrocarbon parameter in the model according to the abundance of the light hydrocarbon compound in the companion oil i And the weight b of each compound constituting the light hydrocarbon parameter molecule i
Step 103: weights a of the respective compounds according to boiling points of the respective light hydrocarbon compounds and constituent denominators and molecules of the light hydrocarbon parameters i And b i The difference T (DEG C) between the weighted average of the boiling points of the denominator and the molecular weight light hydrocarbon compound in the model is determined.
Step 104: selecting a series of constituent parametersLight hydrocarbon parameters D with different number denominator and molecular boiling point differences are respectively calculated to represent the light hydrocarbon parameter values D of the natural gas and the associated oil samples g And D o And carrying out normalization calculation to obtain D g ' and D o ' through D g ' and D o ' comparison, determine the threshold K (. Degree. C.) in the model.
According to the method provided by the invention, a judgment model for judging whether the light hydrocarbon parameters of the associated oil can accurately represent the characteristics of the natural gas is constructed according to whether the difference T (DEG C) of weighted average values of the boiling points of the denominator and the molecular light hydrocarbon compounds in the light hydrocarbon parameters of the associated oil of the natural gas exceeds the critical value K (DEG C): t is less than or equal to K, the parameter P is not basically influenced by evaporation fractionation, and the parameter value of the associated oil can effectively represent the localization characteristics of the natural gas; if T is more than K, the parameter P is obviously affected by evaporation fractionation, and larger errors can be generated when the parameter value of the associated oil is used for judging the natural gas cause and the maturity.
Determining the weight a of each compound composing the denominator of the light hydrocarbon parameter in the model according to the abundance of the light hydrocarbon compound in the companion oil i And the weight b of each compound constituting the light hydrocarbon parameter molecule i . Further, the weight a of each compound of the denominator and the molecule according to the boiling point of each light hydrocarbon compound and the composition light hydrocarbon parameter i And b i Determining the difference T (DEG C) between the weighted averages of the boiling points of the denominator and the molecular light hydrocarbon compounds in the model; specifically, a series of light hydrocarbon parameters D with different constituent parameter denominators and molecular boiling point differences are selected, and light hydrocarbon parameter values D of representative natural gas and associated oil samples are calculated respectively g And D o And carrying out normalization calculation to obtain D g ' and D o ' through D g ' and D o ' comparison, determine the threshold K (. Degree. C.) in the model.
In one embodiment, a light hydrocarbon geochemical parameter is set as:
Figure BDA0003193677240000051
wherein A is 1 ,A 2 ,A 3 ……A m For the abundance of the light hydrocarbon parameter denominator compounds in the companion oil, m is the number of the compounds composing the denominator in the parameter; b (B) 1 ,B 2 ,B 3 ……B n In order to accompany the abundance of the compounds composing the light hydrocarbon parameter molecules in the oil, n is the number of the compounds composing the molecules in the parameter.
The calculation model of the difference between the weighted average of the boiling points of the light hydrocarbon constituting denominator and the weighted average of the boiling points of the light hydrocarbon constituting the associated oil is:
Figure BDA0003193677240000052
wherein T (DEG C) is the difference between the weighted average of boiling points of the constituent denominator and the molecular compound; a, a i And b i Weights of the compounds respectively forming denominator and numerator of the light hydrocarbon parameter, and a 1 +a 2 +a 3 +……+a m =1,b 1 +b 2 +b 3 +……+b n =1;X i And Y k Respectively is a component light hydrocarbon parameter denominator compound A i And molecular compound B k Is a boiling point of (c).
If T is less than or equal to K, wherein K is a critical value, the parameter P is basically not influenced by evaporation fractionation, and the parameter value accompanied with oil can effectively represent the localization characteristics of natural gas; if T is more than K, the parameter P is obviously affected by evaporation fractionation, and a larger error can be generated when the parameter value of the associated oil is used for judging the natural gas characteristics.
In one embodiment, the formula for calculating the weights of the compounds that make up the denominator of the light hydrocarbon parameters is:
Figure BDA0003193677240000061
wherein i=1, 2,3 … … m; a is that 1 ,A 2 ,A 3 ……A m The abundance of the light hydrocarbon parameter denominator compound is formed in the companion oil; m is the conversion of the component denominator in the parameterNumber of compounds.
In one embodiment, the formula for calculating the weight of each compound that makes up the light hydrocarbon parameter molecule is:
Figure BDA0003193677240000062
wherein k=1, 2,3 … … m; b (B) 1 ,B 2 ,B 3 ……B n In order to accompany the abundance of the compounds composing the light hydrocarbon parameter molecules in the oil, n is the number of the compounds composing the molecules in the parameter.
In one embodiment, a series of light hydrocarbon parameters D are selected, wherein the constituent parameters denominator and the molecule are both single compounds, and the denominator and the molecule differ in boiling point: iC (iC) 4 /nC 4 、2-MC 5 /nC 6 、2-MC 6 /nC 7 、iC 5 /nC 5 、3-MC 6 /nC 7 、3-MC 5 /nC 6 、1,1-DMCyC 5 /1,t2-DMCyC 5 、2-MC 5 /3-MC 5 、2-MC 6 /3-MC 6 、1,c3-/1,t2-DMCyC 5 The difference between the boiling points of the denominator and the molecular compound of the ratio is 11.5 ℃, 8.7 ℃, 8.5 ℃, 8.1 ℃, 6.5 ℃, 5.7 ℃, 4.4 ℃, 3.0 ℃, 2.0 ℃ and 1.1 ℃ respectively. And selecting the parameter D one by one according to the boiling point difference from large to small. And respectively calculating the light hydrocarbon parameter value D of the representative natural gas and the accompanying oil sample g And D o Normalized calculation is carried out to obtain D g ' and D o ’:
Figure BDA0003193677240000063
Figure BDA0003193677240000064
If D g '-D o And the boiling point difference between the denominator and the molecule of the selected parameter D is less than or equal to 0.1, namely the critical value K (DEG C) in the model.
In this embodiment, taking the natural gas and associated oil in the Sichuan basin as the objects to be studied, a method for judging the validity of the light hydrocarbon parameters in the crude oil associated with the natural gas reservoir based on the boiling point of the light hydrocarbon is provided, which specifically comprises the following steps:
1. establishing a judgment model for judging whether the light hydrocarbon parameters of the associated oil can accurately represent the natural gas characteristics
The light hydrocarbon parameter is typically a ratio parameter composed of abundance of a plurality of light hydrocarbon compounds, such as cyclohexane index CH (%):
Figure BDA0003193677240000065
wherein, cyC 6 Cyclohexane, nC 6 N-hexane, MCyC 5 Is methylcyclopentane; the calculation model of the difference between the weighted average of the boiling points of the light hydrocarbon constituting denominator and the weighted average of the boiling points of the light hydrocarbon constituting the associated oil is:
T=b 1 X 1 -(a 1 Y 1 +a 2 Y 2 +a 3 Y 3 )
wherein T (DEG C) is the difference between the weighted average of boiling points of the constituent denominator and the molecular compound; b 1 Is associated with CyC in oil 6 The ratio of the abundance of the constituent molecular compounds; a, a 1 ,a 2 ,a 3 Respectively accompanies nC in oil 6 ,CyC 6 ,MCyC 5 The ratio of the abundance of (2) to the abundance of the constituent denominator compound; x is X 1 Is CyC 6 And Y 1 ,Y 2 ,Y 3 Respectively nC 6 ,CyC 6 ,MCyC 5 Is a boiling point of (c).
If T is less than or equal to K, wherein K is a critical value, CH (%) is not influenced by evaporation fractionation basically, and the parameter value of the associated oil can well represent the localization characteristics of the natural gas; if T is more than K, the CH (%) is obviously affected by evaporation fractionation, and the characteristic of the natural gas can be greatly error by using the parameter value of the associated oil.
2. Determination of composition light in modelWeights a of the respective Compounds of the hydrocarbon parameter denominator i And the weight b of each compound constituting the light hydrocarbon parameter molecule i
Taking a sample of the natural gas associated oil representing the well Qiu8 as an example, the abundance of each compound can be obtained based on the analysis of a full-oil gas chromatography experiment, so that the weight of each compound composing the denominator of the light hydrocarbon parameter is calculated:
Figure BDA0003193677240000071
Figure BDA0003193677240000072
Figure BDA0003193677240000073
calculating the weight of each compound composing the light hydrocarbon parameter molecule:
Figure BDA0003193677240000074
3. determining the difference T (DEG C) between the weighted averages of the boiling points of the constituent denominator and the molecular weight compounds in the model
Taking a sample of natural gas associated oil representing the well Qia 8 as an example, the weight a of each compound composing the denominator of the light hydrocarbon parameter is calculated i And the weight b of each compound constituting the light hydrocarbon parameter molecule i And substituting the boiling points of the compounds obtained by table lookup into a calculation model of the difference between the weighted average of the boiling points of the constituent denominator light hydrocarbon compounds and the weighted average of the boiling points of the constituent molecular light hydrocarbon compounds, calculating T (DEG C):
T=1.0×80.8-(0.27×68.7+0.56×80.8+0.17×71.8 3 )=4.797(℃)
4. determining a critical value K (DEG C) in a model
Taking a representative well Qia 8 natural gas and a concomitantly oil sample as an example, a series of components with denominator and numerator as single compounds are selectedAnd the difference between the denominator and the molecular boiling point is different from the light hydrocarbon parameter D: iC (iC) 4 /nC 4 、2-MC 5 /nC 6 、2-MC 6 /nC 7 、iC 5 /nC 5 、3-MC 6 /nC 7 、3-MC 5 /nC 6 、1,1-DMCyC 5 /1,t2-DMCyC 5 、2-MC 5 /3-MC 5 、2-MC 6 /3-MC 6 、1,c3-/1,t2-DMCyC 5 The difference between the boiling points of the denominator and the molecular compound of the ratio is 11.5 ℃, 8.7 ℃, 8.5 ℃, 8.1 ℃, 6.5 ℃, 5.7 ℃, 4.4 ℃, 3.0 ℃, 2.0 ℃ and 1.1 ℃ respectively. And selecting the parameter D one by one according to the boiling point difference from large to small. Calculating the light hydrocarbon parameter value D of the representative natural gas and the accompanying oil sample respectively g And D o Normalized calculation is carried out to obtain D g ' and D o ' (Table 2), and comparing D g ' and D o ' size (fig. 2).
TABLE 2 comparison of light Hydrocarbon parameter values for Qin 8 well Natural gas and its associated oil composition denominator and molecular boiling point difference
Figure BDA0003193677240000081
The larger the difference between the denominator and the molecular boiling point, the larger the difference between the natural gas and the associated oil parameter values (fig. 2). D when the difference between the denominator and the molecular boiling point is 3.00 DEG C g '-D o '.ltoreq.0.1, so that K=3℃in the model. Obviously, T in the model>Since CH (%) is greatly affected by evaporation fractionation, CH (%) associated with oil cannot effectively indicate natural gas cause.
Studies have shown that greater than 29% of CH (%) is coal gas and less than 29% of CH (%) is oil gas. The same blocks JH5, gongH16 and Gong108X well samples are selected to verify that the difference of CH (%) parameter values of the natural gas and the associated oil is obvious and reaches 8.1% -12.1% (figure 3), and the CH (%) value of the associated oil is used for judging that the natural gas causes larger errors and is consistent with the judgment result of the model.
5. Verification of the validity of the judgment model
Selecting Jinhua oil field of Sichuan basinThe JH5 and Qia 8 wells are derived from gas and associated condensate of the Junior river group, and the Gongh16 and Gong108X wells of the temple oilfield are derived from dwarf oil-type gas and associated light oil samples as test examples. Selecting a parameter methylcyclohexane index (MCH/%) which is commonly used for natural gas cause identification, and a Mango light hydrocarbon parameter K 1 As well as the parameters isoheptane value (I) and n-heptane value (H/%) commonly used for natural gas maturity determination as study parameters, wherein:
Figure BDA0003193677240000082
Figure BDA0003193677240000091
Figure BDA0003193677240000092
Figure BDA0003193677240000093
the above-mentioned identification model calculates the difference T (deg.C) between the weighted average of the denominator and the boiling point of the molecular light hydrocarbon compound, which is composed of different light hydrocarbon parameters of different samples, and the calculation results are shown in Table 3. Comparing T (DEG C) with application critical value K (DEG C), and obtaining methylcyclohexane index (MCH/%), mango light hydrocarbon parameter K 1 Isoheptane value (I) T<K, the influence of evaporation fractionation is small, and the natural gas characteristics can be effectively judged by using the light hydrocarbon parameters of the associated oil; and T for n-heptane value (H/%)>K indicates that the parameter is greatly influenced by evaporation and fractionation, and the n-heptane value (H/%) of associated oil cannot accurately judge the maturity of natural gas.
TABLE 3 comparison of parameters of representative companion oil samples K (. Degree. C.) and T (. Degree. C.) for K (. Degree. C.)
Figure BDA0003193677240000094
MCH (%), K calculated by actually measured light hydrocarbon abundance of natural gas and associated oil 1 Comparison of I and H (%) parameter values shows that MCH (%), K of natural gas and associated oil 1 The I parameters differ little, and the application of parameters accompanying oil to identify natural gas characteristics does not affect the conclusion (fig. 4) compared to the reported empirical values for these parameters to identify natural gas cause or maturity. The difference between the heptane value H (%) of the natural gas and the heptane value H (%) of the companion oil is large, and the use of the heptane value of the companion oil to judge the maturity of the natural gas can lead to the judgment of the maturity to be higher. Therefore, the actual measurement result is consistent with the result judged by the judgment model, and the effectiveness of the method is verified. The method solves the problem that the natural gas cause and maturity can be judged to have larger errors by applying the light hydrocarbon parameters of the associated oil due to the influence of evaporation fractionation. The identification model can improve the accuracy of natural gas cause and maturity identification, has higher precision and wide applicability, and provides important technical support for the current natural gas source research.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and various modifications and variations can be made to the embodiments of the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (2)

1. A method for judging the validity of light hydrocarbon parameters in crude oil associated with a natural gas reservoir based on the boiling point of the light hydrocarbon comprises the following steps:
according to whether the difference T between the weighted sum of the boiling points of the constituent denominator light hydrocarbon compounds and the weighted sum of the boiling points of the constituent molecular light hydrocarbon compounds in the natural gas associated oil light hydrocarbon parameters exceeds a critical value K, constructing the following judgment model for judging whether the associated oil light hydrocarbon parameters can accurately represent the natural gas characteristics:
if T is less than or equal to K, the light hydrocarbon parameter of the natural gas associated oil is not basically influenced by evaporation fractionation, and the parameter value of the associated oil can effectively represent the localization characteristics of the natural gas;
if T is more than K, the light hydrocarbon parameters of the natural gas associated oil are obviously affected by evaporation fractionation, and the parameter value of the associated oil is used for judging that the natural gas characteristics can generate larger errors;
the natural gas associated oil light hydrocarbon parameter is obtained by the formula (1):
Figure FDA0004200446710000011
wherein A is 1 ,A 2 ,A 3 ……A m The abundance of the light hydrocarbon parameter denominator compounds in the companion oil is represented, and m represents the number of the compounds composing the denominator in the parameter; b (B) 1 ,B 2 ,B 3 ……B n The abundance of the compounds composing the light hydrocarbon parameter molecules in the companion oil is represented, and n represents the number of the compounds composing the molecules in the parameter;
obtaining the difference T between the weighted sum of the boiling points of the constituent denominator light hydrocarbon compounds and the weighted sum of the boiling points of the constituent molecular light hydrocarbon compounds according to the formula (2):
Figure FDA0004200446710000012
wherein T represents the difference between the boiling point of the constituent denominator and the boiling point of the molecular compound; a, a i And b k Respectively represent the weights of the compounds composing the denominator and the molecule of the light hydrocarbon parameter, and a 1 +a 2 +a 3 +……+a m =1,b 1 +b 2 +b 3 +……+b n =1;X i And Y k Respectively represent the components of the light hydrocarbon parameter denominator compound A i And molecular compound B k Boiling point of (2);
the critical value K is determined in the following way, in units of℃C:
selecting a series of light hydrocarbon ratio parameters D with similar structures and different boiling points of the compounds, wherein the denominator compounds and the molecular compounds are all single compounds; then the boiling point difference is changed from large to small one by oneSelecting a parameter D, and respectively obtaining light hydrocarbon parameter values D of representative natural gas and associated oil samples g And D o Normalized calculation is carried out to obtain D g ' and D o ’:
Figure FDA0004200446710000021
Figure FDA0004200446710000022
If D g ’-D o And the boiling point difference of the denominator compound and the molecular compound of the selected parameter is less than or equal to 0.1, namely the critical value K.
2. The method according to claim 1, characterized in that: obtaining weights of each compound composing the denominator of the light hydrocarbon parameter according to a formula (2-1):
Figure FDA0004200446710000023
wherein i=1, 2,3 … … m; a is that 1 ,A 2 ,A 3 ……A m Representing abundance of constituent light hydrocarbon parameter denominator compounds in the associated oil; m represents the number of compounds constituting the denominator in the parameter;
obtaining weights of various compounds composing the light hydrocarbon parameter molecules according to a formula (2-2):
Figure FDA0004200446710000024
wherein k=1, 2,3 … … m; b (B) 1 ,B 2 ,B 3 ……B n The abundance of the compounds that constitute the light hydrocarbon parameter molecules in the associated oil is represented, and n represents the number of the compounds that constitute the molecules in the parameter.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104932032A (en) * 2015-05-26 2015-09-23 中国石油大学(华东) Discrimination method for charging period of underground biodegradation heavy oil reservoir
CN110346331A (en) * 2019-07-12 2019-10-18 中国石油大学(北京) Gas maturity calculation method and Gas Source Correlation method
CN110608032A (en) * 2019-09-18 2019-12-24 中国石油集团长城钻探工程有限公司录井公司 Oil well yield prediction method based on light hydrocarbon logging and computer equipment

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6027548A (en) * 1996-12-12 2000-02-22 Praxair Technology, Inc. PSA apparatus and process using adsorbent mixtures
CA2339859A1 (en) * 2001-02-05 2002-08-05 Glen F. Perry Natural gas transport system and composition
US20050096215A1 (en) * 2003-10-31 2005-05-05 Conocophillips Company Process for producing synthesis gas using stabilized composite catalyst
US20050123794A1 (en) * 2003-12-05 2005-06-09 Deaton Joseph C. Organic electroluminescent devices
US7910629B2 (en) * 2006-10-20 2011-03-22 Exxonmobil Research And Engineering Company Light ends recovery process for a GTL plant
CN103678734A (en) * 2012-09-06 2014-03-26 北京化工大学 Optimizing method of reaction model for preparing ethylene molecules through naphtha high-temperature steam cracking
CN104678018B (en) * 2015-02-13 2016-06-08 中国石油天然气股份有限公司 A kind of crude quality fraction maturity assessment method
CN105158434B (en) * 2015-08-04 2017-01-04 中国石油天然气股份有限公司 A kind of method dynamically sentencing knowledge marine facies deep natural gas genetic type
CN105842753B (en) * 2016-03-24 2018-04-27 中国石油大学(北京) To the method and device that remaining organic carbon content is recovered in hydrocarbon source rock
CN108388137A (en) * 2018-04-17 2018-08-10 西安庆港洁能科技有限公司 A kind of method and apparatus of light ends unit operating point parameter optimization
CN110387260A (en) * 2018-04-21 2019-10-29 何巨堂 A kind of hydrocarbon material heat from hydrogenation cracking method for the modified oil refining high aromatic hydrocarbons wax oil altogether
CN108798661B (en) * 2018-06-11 2021-07-23 中国石油集团川庆钻探工程有限公司 Method for identifying oil well reservoir and fluid-containing property by using logging gas logging component parameters
CN109445382B (en) * 2018-09-30 2020-08-18 北京国双科技有限公司 Processing capacity evaluation method and device, monitoring method and system for oil field combined station
CN109852418A (en) * 2018-12-18 2019-06-07 洛阳瑞华新能源技术发展有限公司 The hydrocarbon suspended bed hydrogenation method of size particle size dispersion type catalyst is applied in combination
CN111892942B (en) * 2019-05-05 2021-10-08 中国石油化工股份有限公司 Device and method for producing high-end graphite material
CN110513106A (en) * 2019-08-08 2019-11-29 中国石油大学(北京) Compensate the characterizing method and system of the hydrocarbon source rock life residence feature of lighter hydrocarbons evaporation capacity
CN110988239A (en) * 2019-12-12 2020-04-10 中国石油大学(华东) Comprehensive identification method and system for origin and source of shallow natural gas

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104932032A (en) * 2015-05-26 2015-09-23 中国石油大学(华东) Discrimination method for charging period of underground biodegradation heavy oil reservoir
CN110346331A (en) * 2019-07-12 2019-10-18 中国石油大学(北京) Gas maturity calculation method and Gas Source Correlation method
CN110608032A (en) * 2019-09-18 2019-12-24 中国石油集团长城钻探工程有限公司录井公司 Oil well yield prediction method based on light hydrocarbon logging and computer equipment

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