CN112147039A - Method for predicting crude oil viscosity of complex fault block heavy oil reservoir - Google Patents
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- 239000010779 crude oil Substances 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 30
- 239000000295 fuel oil Substances 0.000 title claims abstract description 21
- 238000005070 sampling Methods 0.000 claims abstract description 26
- 238000006065 biodegradation reaction Methods 0.000 claims abstract description 24
- 239000003921 oil Substances 0.000 claims abstract description 24
- 230000000694 effects Effects 0.000 claims abstract description 23
- 238000005553 drilling Methods 0.000 claims abstract description 18
- 238000013461 design Methods 0.000 claims abstract description 10
- 238000010219 correlation analysis Methods 0.000 claims abstract description 5
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 4
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- 239000007789 gas Substances 0.000 description 8
- 239000002352 surface water Substances 0.000 description 5
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- 238000010586 diagram Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 239000011435 rock Substances 0.000 description 3
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- 239000004215 Carbon black (E152) Substances 0.000 description 2
- 241001148470 aerobic bacillus Species 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 229930195733 hydrocarbon Natural products 0.000 description 2
- 150000002430 hydrocarbons Chemical class 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
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Abstract
The invention provides a method for predicting the crude oil viscosity of a complex fault block heavy oil reservoir, which comprises the following steps: firstly, counting the fault activity of the oil-gas reservoir formation period at the high point of the fault block where the drilled well is located; secondly, counting fault dip angles at high points of fault blocks where drilled wells are located; thirdly, calculating and obtaining the distance from the sampling point to the ground by using the vertical depth of the sampling point and the dip angle data of the fault; fourthly, performing multivariate correlation analysis by utilizing the fault activity data, the distance from the sampling point to the ground and the viscosity of the crude oil to obtain a crude oil biodegradation intensity index; fifthly, establishing a correlation between the measured viscosity data of the crude oil and the biodegradation strength index; substituting the data of the fault activity, the fault inclination angle and the distance from the design depth to the ground of the non-drilling area into a fitting formula to calculate the predicted viscosity of the crude oil; the method has the advantages that the predicted viscosity data is basically consistent with the actual measurement result of the viscosity of the latest drilling crude oil, a fitting formula can be established according to the self fault development conditions of different areas, the viscosity of the thick oil in the area without drilling is effectively predicted, and the method is true and reliable.
Description
Technical Field
The invention relates to a method for predicting the crude oil viscosity of a complex fault block heavy oil reservoir.
Background
The thickened oil refers to the crude oil with the crude oil viscosity not less than 50 mPa.s under the stratum condition, unconventional oil gas resources such as the global thickened oil, the tar sands and the like have the potential of being several times of the conventional oil gas resource amount, the thickened oil and the tar sands in China are also quite rich, and the resource amount of the extra-heavy oil and the tar sands is more than 59.7 multiplied by 108And t, the thickened oil becomes an important field of oil and gas resource exploration, and the viscosity of the thickened oil has important influence on exploration evaluation and later development scheme design, so that the thickened oil viscosity prediction has important research significance.
The existing technical methods are mainly limited to predicting the viscosity of the thick oil by using data such as rock fragment, wall core, rock pyrolysis of rock core, extract biomarker compound, hydrocarbon composition and the like, the methods can predict the viscosity only by relying on physical analysis and assay data, and the methods cannot perform pre-drilling analysis and prediction on areas without physical data, so that the real-time decision on exploration evaluation, development scheme design and the like is difficult.
Disclosure of Invention
The invention mainly aims to overcome the defects of the existing product and provide a method for predicting the crude oil viscosity of a complex fault block heavy oil reservoir, and the heavy oil viscosity is predicted by establishing a correlation between the size of surface water supply and the crude oil viscosity through analysis.
The purpose of the invention is realized by the following technical scheme.
The invention discloses a method for predicting the crude oil viscosity of a complex fault block heavy oil reservoir, which is characterized by comprising the following steps of: step one, counting the fault activity of the oil-gas reservoir formation period at the high point of the fault block where the drilled well is located; secondly, counting fault dip angles at high points of fault blocks where drilled wells are located; thirdly, calculating and obtaining the distance from the sampling point to the ground by using the vertical depth of the sampling point and the fault dip angle data; fourthly, performing multivariate correlation analysis by utilizing the fault activity data, the distance from the sampling point to the ground and the viscosity of the crude oil to obtain a crude oil biodegradation intensity index; fifthly, establishing a correlation between the measured viscosity data of the crude oil and the biodegradation strength index; and sixthly, substituting the data of the activity of the fault, the inclination angle of the fault and the distance from the design depth to the ground in the non-drilling area into a fitting formula to calculate the predicted viscosity of the crude oil.
The method for predicting the crude oil viscosity of the complex fault block heavy oil reservoir comprises the following steps of,
in the first step, the fault activity is represented by the maximum fault distance Fi in the oil and gas accumulation period, and the fault at the highest point of a fault block where a drilled well is located needs to be counted;
in the second step, the fault dip angle is a statistical fault true dip angle theta i;
in the third step, the vertical depth Di of the sampling point is the top depth of the testing depth section, the inclined shaft needs to be converted into the vertical depth for calculation, the vertical depth of the sampling point and the true fault dip angle are substituted into the formula (1), and the distance Li between the sampling point and the ground is calculated;
Li＝Di/cosθi (1)
the fourth step, substituting the fault activity Fi and the distance Li between the sampling point and the ground into a formula (2) to obtain a crude oil biodegradation strength index Bi;
Bi＝Fi/eLi (2)
establishing a correlation formula (3) by using the actually measured viscosity data y and the biodegradation index B, and paying attention to the fact that the actually measured viscosity data adopts an index coordinate;
y＝193.55e0.0651B (3)
the sixth step, the fault activity of the non-drilled area FPredictionAngle of inclination of fault thetaPredictionDesign depth to ground distance DPredictionSubstituting into formulas (1) and (2) to calculate biodegradation strength index BPredictionA 1 to BPredictionSubstituting the formula (3) to calculate the predicted viscosity y of the crude oilPrediction。
The method for predicting the crude oil viscosity of the complex fault block heavy oil reservoir has the beneficial effects that firstly, the fault activity and the fault inclination angle of the high point of the fault block where the complex fault block heavy oil reservoir is drilled are counted. And then calculating the distance from the sampling point to the ground according to the vertical depth of the sampling point and the dip angle of the fault. And then carrying out multivariate correlation analysis by utilizing the fault activity data, the distance from the sampling point to the ground and the actual measurement viscosity of the crude oil to obtain the crude oil biodegradation intensity index. And finally, establishing a correlation between the measured viscosity data of the crude oil and the biodegradation intensity index, calculating the viscosity of the thick oil in the non-drilling area according to a fitting formula, wherein the predicted viscosity data calculated by the formula is basically consistent with the measured viscosity result of the latest drilling crude oil, and the reliability of the viscosity prediction method is proved. The method can establish a fitting formula according to the self fault development conditions of different areas, so that the viscosity of the thick oil in the area without drilling can be effectively predicted, and the method has a good application prospect.
Drawings
FIG. 1 is a schematic process flow diagram of the present invention.
FIG. 2 is a structural diagram of the oil and gas accumulation period in the embodiment of the invention.
FIG. 3 is a cross-sectional view taken perpendicular to a fault in accordance with an embodiment of the present invention.
FIG. 4 is a graph showing the correlation between viscosity of thickened oil and index of biodegradation strength;
Detailed Description
Example (b):
as shown in FIG. 1, the method for predicting the crude oil viscosity of the complex fault block heavy oil reservoir comprises the following steps:
1) and (4) utilizing the oil-gas reservoir formation time construction diagram to count the fault activity at the high point of the fault block where the drilled well is located. The oil and gas accumulation period of the LD21-2 oil field is up to now in Liangtao, so the Liangtao construction diagram (figure 2) is adopted for data statistics at this time. As shown in FIG. 2, the fault at the high point of the fault block of the LD21-2-1D well, the LD21-2-2 well and the LD21-2-3 well is F1, the fault at the high point of the fault block of the LD21-2-2Sa well is F2, and the fault at the high point of the fault layer of the LD21-3-1 well is F4. Two high points exist in a fault block where the LD21-2-4 well is located, the two high points belong to the same oil reservoir system, the fault distance of the F1 fault is larger than that of the F3 fault, and the replenishment quantity of surface water supplied to a sampling point can be reflected better, so that the fault distance close to the high point of the F1 fault needs to be counted to reflect the fault activity of the LD21-2-4 well.
2) And calculating fault dip by using the seismic sections vertical to the fault at each high point. As shown in fig. 3, taking a seismic section perpendicular to an F1 fault near an LD21-2-1D well as an example, the horizontal distance can be calculated by calculating the fault dip using a right triangle formed by a vertical line, a horizontal distance line, and an F1 fault section and multiplying the acquisition bin data by the number of gathers of the seismic section. It should be noted that statistical statistics may not be used to replace true tilt angle with apparent tilt angle data.
3) And calculating the distance from the sampling point to the ground according to the vertical depth of the drilled sampling point and the fault inclination angle data, wherein the calculation formula is Li (Di/cos theta i), and the vertical depth data of the sampling point needs to be the top depth of the testing section.
4) Performing multivariate correlation analysis by using fault activity data, the distance from a sampling point to the ground and the viscosity of crude oil to obtain a crude oil biodegradation intensity index, wherein the biodegradation intensity index is in a direct proportion relation with the fault activity and in an inverse proportion relation with the distance index according to an analysis result, and the formula of the biodegradation index is Bi & ltFi/e & gtLi。
5) And establishing a correlation between the measured viscosity data of the crude oil and the biodegradation strength index. According to the statistical data of 9 sampling points of 6 wells such as LD21-2-1D, LD21-2-2, LD21-2-2Sa, LD21-2-3, LD21-2-4, LD21-3-1 and the like in the table 1, the viscosity and the biodegradation intensity index data are shown in figure 4, the correlation between the two is very good on the correlation chart, and the correlation coefficient R is20.8931, the correlation equation is fitted to y 193.55e0.0651B. Note that the exponential coordinate adopted by the viscosity data in the fitting correlation chart is adopted。
6) Before LD21-2-5D well drilling, data such as well fault activity, fault dip angle, design depth to ground distance and the like are counted, and the formula Li (Di/cos theta i) and Bi (Fi/e) are substituted intoLiIn (1), calculating the biodegradation index, and then substituting the formula y-193.55 e0.0651BIn (1), the predicted viscosity before drilling of LD21-2-5D wells was calculated. The reliability of the viscosity prediction method is verified by comparing the measured viscosity data of the LD21-2-5D well after drilling with that before drilling, the error rate is 4.99 percent (Table 2), and the thick oil viscosity prediction result is basically consistent with the measured data.
Table 1 shows the data statistics of LD21-2 oil field according to the embodiment of the present invention
Table 2 is a table of comparison data of pre-drilling predicted viscosity and post-drilling measured viscosity
The viscosity data calculated by the formula is basically consistent with the measurement result of the viscosity of the latest drilling crude oil, and the reliability of the viscosity prediction method is proved. The method for predicting the crude oil viscosity of the complex fault block heavy oil reservoir provided by the invention is very effective in predicting the viscosity of the complex fault block heavy oil reservoir with a high point controlled by a fault, does not depend on an empirical formula, establishes an independent fitting formula according to the self fault development conditions of different areas, and has good application prospect. Compared with the existing viscosity prediction method, the method can quantitatively predict the viscosity of the thick oil, can predict the viscosity of the undrilled area before drilling, and provides important basis for real-time decision of exploration evaluation and development scheme design.
The working principle of the method for predicting the crude oil viscosity of the complex fault block heavy oil reservoir provided by the invention is that the shallow layer heavy oil in the sea area is mainly formed by biodegradation, the crude oil biodegradation is mainly a hydrocarbon oxidation process, a large amount of bacteria and fungi are metabolized by consuming saturated hydrocarbon and aromatic hydrocarbon, as most of the bacteria are aerobic bacteria, the supplementation of molecular oxygen by surface water is a necessary condition for the degradation of the aerobic bacteria, the larger the surface water supplementation amount is, the stronger the biodegradation effect is, the larger the heavy oil viscosity is, and therefore, the correlation relationship is established between the surface water supplementation amount and the crude oil viscosity by analyzing, and the heavy oil viscosity is further predicted. The method provided by the invention is very effective in predicting the viscosity of the complex fault block heavy oil reservoir with high points controlled by faults, does not depend on an empirical formula, establishes an independent fitting formula according to the fault development conditions of different regions, and has a good application prospect. Compared with the existing viscosity prediction method, the method can quantitatively predict the viscosity of the thick oil, can predict the viscosity of the undrilled area before drilling, and provides important basis for real-time decision of exploration evaluation and development scheme design.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent variations and modifications made to the above embodiment according to the technical spirit of the present invention still fall within the scope of the technical solution of the present invention.
Claims (2)
1. A method for predicting the crude oil viscosity of a complex fault block heavy oil reservoir is characterized by comprising the following steps: step one, counting the fault activity of the oil-gas reservoir formation period at the high point of the fault block where the drilled well is located; secondly, counting fault dip angles at high points of fault blocks where drilled wells are located; thirdly, calculating and obtaining the distance from the sampling point to the ground by using the vertical depth of the sampling point and the fault dip angle data; fourthly, performing multivariate correlation analysis by utilizing the fault activity data, the distance from the sampling point to the ground and the viscosity of the crude oil to obtain a crude oil biodegradation intensity index; fifthly, establishing a correlation between the measured viscosity data of the crude oil and the biodegradation strength index; and sixthly, substituting the data of the activity of the fault, the inclination angle of the fault and the distance from the design depth to the ground in the non-drilling area into a fitting formula to calculate the predicted viscosity of the crude oil.
2. The method for predicting the crude oil viscosity of a complex fault block heavy oil reservoir according to claim 1,
in the first step, the fault activity is represented by the maximum fault distance Fi in the oil and gas accumulation period, and the fault at the highest point of a fault block where a drilled well is located needs to be counted;
in the second step, the fault dip angle is a statistical fault true dip angle theta i;
in the third step, the vertical depth Di of the sampling point is the top depth of the testing depth section, the inclined shaft needs to be converted into the vertical depth for calculation, the vertical depth of the sampling point and the true fault dip angle are substituted into the formula (1), and the distance Li between the sampling point and the ground is calculated;
Li＝Di/cosθi (1)
the fourth step, substituting the fault activity Fi and the distance Li between the sampling point and the ground into a formula (2) to obtain a crude oil biodegradation strength index Bi;
Bi＝Fi/eLi (2)
establishing a correlation formula (3) by using the actually measured viscosity data y and the biodegradation index B, and paying attention to the fact that the actually measured viscosity data adopts an index coordinate;
y＝193.55e0.0651B (3)
the sixth step, the fault activity of the non-drilled area FPredictionAngle of inclination of fault thetaPredictionDesign depth to ground distance DPredictionSubstituting into formulas (1) and (2) to calculate biodegradation strength index BPredictionA 1 to BPredictionSubstituting the formula (3) to calculate the predicted viscosity y of the crude oilPrediction。
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