CN106125156A - The multifactor means of interpretation of igneous rock well logging - Google Patents

The multifactor means of interpretation of igneous rock well logging Download PDF

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CN106125156A
CN106125156A CN201610495581.XA CN201610495581A CN106125156A CN 106125156 A CN106125156 A CN 106125156A CN 201610495581 A CN201610495581 A CN 201610495581A CN 106125156 A CN106125156 A CN 106125156A
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gas
parameter
logging
rock
igneous
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王晨
赵彦清
甘仁忠
朱绪壮
陈向辉
张�浩
马玉明
杨卫东
胡张明
付连明
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CNPC Xibu Drilling Engineering Co Ltd
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CNPC Xibu Drilling Engineering Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00

Abstract

The present invention relates to logging explanation technical field, it it is a kind of multifactor means of interpretation of igneous rock well logging, including step: the first step: set up igneous rock logging explanation data base, second step: extract gas and survey sensitive parameter and rock pyrolysis sensitive parameter, 3rd step: set up Igneous gas and survey oiliness exponential model, 4th step: set up rock pyrolysis parameter built-up pattern, the 5th step: gas is surveyed oiliness exponential model and the multifactor interpretation chart of well logging is set up in rock pyrolysis parameter built-up pattern intersection.The present invention is based on the multifactor means of interpretation of well logging surveyed gas and based on rock pyrolysis data, by gas survey, rock pyrolysis sensitive parameter are extracted, the new parameter gas using multiple gas detection logging Parameter fusion to set up reflection reservoir oily abundance surveys oiliness index, and set up gas survey oiliness index model and rock pyrolysis parameter built-up pattern, apply respond well in terms of igneous reservoirs flow net model, be effectively increased the logging explanation coincidence rate of igneous reservoirs.

Description

The multifactor means of interpretation of igneous rock well logging
Technical field
The present invention relates to logging explanation technical field, be a kind of multifactor means of interpretation of igneous rock well logging.
Background technology
Existing igneous reservoirs tradition gas reservoir prediction method includes triangulation method, pik Si Lefa, lighter hydrocarbons ratio method, just Ruleization method, double logarithm method, gas evaluation method, on the basis of being all built upon gas survey component ratios, the most do not adapt to igneous rock Properties of fluid in bearing stratum differentiates.Special well logging aspect includes rock pyrolysis means of interpretation, pyrolysis gas chromatography (Pyro-GC) means of interpretation, lighter hydrocarbons solution Releasing method and nuclear magnetic resonance, NMR means of interpretation etc., each method is all to use respective parameter group to build vertical interpretation chart jointly.Igneous rock stores up Layer feature differs markedly from clastic reservoir rock.Clastic reservoir rock preserves oil gas by matrix pores, and reservoir space is the most single；And it is fiery Diagenesis reservoir then belongs to matrix pores and the dual reservoir space in seam hole, and logging explanation difficulty is big.
Summary of the invention
The invention provides a kind of multifactor means of interpretation of igneous rock well logging, overcome the deficiency of above-mentioned prior art, its Can effectively solve igneous rock reservoir matrix hole in prior art big with the logging explanation difficulty that the dual reservoir space in seam hole causes Problem.
The technical scheme is that and realized by following measures: a kind of igneous rock well logging multifactor means of interpretation, Comprise the following steps:
The first step: set up igneous rock logging explanation data base, collects whole by the way of comprehensive logging instrument and artificial collection Regulate the flow of vital energy survey relevant parameter, formation testing relevant parameter, rock pyrolysis relevant parameter and parameter is carried out preferably, sort out, formation well logging solution Release data base；
Second step: extract gas and survey sensitive parameter and rock pyrolysis sensitive parameter, derive respectively from logging explanation data base The gas that igneous reservoirs oily properties evaluations is relevant is surveyed sensitive parameter and the parameter of rock pyrolysis sensitivity；
3rd step: survey sensitive parameter and rock pyrolysis sensitive parameter according to Regional Geological Characteristics Reservoir type and gas, select Interpretation and evaluation canonical parameter is set up Igneous gas and is surveyed oiliness exponential model, and computing formula is as follows:
Qzs=Uh × C3/C4 × Ln (2-1/Fjb) × eK
In formula, Qzs: gas surveys oiliness index；Fjb: gas logging abnormal display segment total hydrocarbon peak value and the ratio of base value；Uh: hydrocarbon Phase coefficient；Nc: hydrocarbon peak coefficient；K: obtain after being surveyed component exponential fitting by gas, the lapse rate of reflection hydrocarbon component；B: surveyed component by gas Obtain after exponential fitting, with total hydrocarbon in gas logging content positive correlation, reflect oil-containing (gas) abundance, e: for constant, numerical value is about 2.71828；
4th step: set up rock pyrolysis parameter built-up pattern, uses " five peak analytic process " to obtain parameter S21, S22 and ST, A complex parameter, i.e. rock pyrolysis parameter combination S21/S22*ST2 is obtained after being combined；
5th step: Igneous gas is surveyed oiliness exponential model and rock pyrolysis parameter built-up pattern intersection to set up well logging many Factor interpretation chart.
Further optimization and/or improvements to foregoing invention technical scheme are presented herein below:
In above-mentioned 3rd step, the computing formula of hydrocarbon phase coefficient Uh is as follows:
Uh=h gas/h storage
Wherein, h gas is that gas logging abnormal shows one-tenth-value thickness 1/10；H storage is the reservoir thickness value that gas logging abnormal display segment is corresponding.
In above-mentioned 4th step, " five peak analytic process " is by arranging five temperature ranges, corresponding one of each temperature range Achievement spectrogram peak, there are five and analyzes peak, i.e. S0, S1, S21, S22, S23 and S0+S1+S21+S22+S23=ST, humidity province Between with component parameter form achievement spectrogram.
The present invention is based on the multifactor means of interpretation of well logging surveyed gas and based on rock pyrolysis data, by surveying gas Parameter and rock pyrolysis sensitive parameter extract, and use multiple gas detection logging Parameter fusion to set up the new of reflection reservoir oily abundance Parameter gas surveys oiliness index, and sets up gas survey oiliness index model and rock pyrolysis parameter built-up pattern.Use first Gas is surveyed sensitive parameter and is set up igneous rock oil-gas Layer logging explanation model with rock pyrolysis sensitive parameter intersection.By igneous rock oil gas The utilization of layer logging explanation model, applies respond well in terms of igneous reservoirs flow net model, is effectively increased pyrogene The logging explanation coincidence rate of rock reservoir.
Accompanying drawing explanation
Accompanying drawing 1 is the block diagram of the embodiment of the present invention 1.
Accompanying drawing 2 is the YQ-IV type rock pyrolysis instrument analytical cycle schematic diagram of the embodiment of the present invention 2.
Accompanying drawing 3 is the Qzs S21/S22*ST2 interpretation model of the embodiment of the present invention 2.
Accompanying drawing 4 is gas logging abnormal display segment total hydrocarbon peak value and the base value curve chart of the embodiment of the present invention 2.
Accompanying drawing 5 is the K value value simulation drawing of the embodiment of the present invention 2.
Detailed description of the invention
The present invention is not limited by following embodiment, can determine specifically according to technical scheme and practical situation Embodiment.
Below in conjunction with embodiment and accompanying drawing, the invention will be further described:
Embodiment 1: as shown in Figure 1, a kind of multifactor means of interpretation of igneous rock well logging, comprise the following steps:
The first step: set up igneous rock logging explanation data base, collects whole by the way of comprehensive logging instrument and artificial collection Regulate the flow of vital energy survey relevant parameter, formation testing relevant parameter, rock pyrolysis relevant parameter and parameter is carried out preferably, sort out, formation well logging solution Release data base；
Second step: extract gas and survey sensitive parameter and rock pyrolysis sensitive parameter, derive respectively from logging explanation data base The gas that igneous reservoirs oily properties evaluations is relevant is surveyed sensitive parameter and the parameter of rock pyrolysis sensitivity；
3rd step: survey sensitive parameter and rock pyrolysis sensitive parameter according to Regional Geological Characteristics Reservoir type and gas, select Interpretation and evaluation canonical parameter is set up Igneous gas and is surveyed oiliness exponential model, and computing formula is as follows:
Qzs=Uh × C3/C4 × Ln (2-1/Fjb) × eK
In formula, Qzs: gas surveys oiliness index；Fjb: gas logging abnormal display segment total hydrocarbon peak value and the ratio of base value；Uh: hydrocarbon Phase coefficient；Nc: hydrocarbon peak coefficient；K: obtain after being surveyed component exponential fitting by gas, the lapse rate of reflection hydrocarbon component；B: surveyed component by gas Obtain after exponential fitting, with total hydrocarbon in gas logging content positive correlation, reflect oil-containing (gas) abundance, e: for constant, numerical value is about 2.71828；
4th step: set up rock pyrolysis parameter built-up pattern, uses " five peak analytic process " to obtain parameter S21, S22 and ST, The complex parameter obtained after being combined, i.e. rock pyrolysis parameter combination S21/S22*ST2；Wherein " five peak analytic process " is Existing known technology.
5th step: Igneous gas is surveyed oiliness exponential model and rock pyrolysis parameter built-up pattern intersection to set up well logging many Factor interpretation chart.
According to actual needs the above-mentioned multifactor means of interpretation of igneous rock well logging can be made further optimization and/or improvements:
As shown in accompanying drawing 1,4, in the 3rd step, the computing formula of hydrocarbon phase coefficient Uh is as follows:
Uh=h gas/h storage
Wherein, h gas is that gas logging abnormal shows one-tenth-value thickness 1/10；H storage is the reservoir thickness value that gas logging abnormal display segment is corresponding.
As shown in accompanying drawing 1,2,3,4,5, in the third step, in formula, C3, C4 value is to use compound logging instrument to carry The gas that chromatograph directly records surveys component C 3, C4 value, wherein C4=iC4+nC4；Fjb=gas logging abnormal display segment in formula is complete Hydrocarbon maximum/gas logging abnormal section upper formation total hydrocarbon base value.K value in formula: for gas logging abnormal section maximum gas logging abnormal point pair The gas answered surveys component C 1, C2, C3, iC4, nC4, iC5 value by drawing after exponential fitting.
As shown in accompanying drawing 2, table 1, in the 4th step, " five peak analytic process " is by arranging five temperature ranges, each temperature An interval corresponding achievement spectrogram peak, there are five and analyzes peak, i.e. S0, S1, S21, S22, S23 and S0+S1+S21+S22+ S23=ST, temperature range forms achievement spectrogram with component parameter.
As shown in Figure 2, real work use YQ-IV type rock pyrolysis instrument analyze rock pyrolysis parameter combined cycle, It can be seen that obtain five according to " five peak analytic process " to analyze peak, so that it is determined that the week of S0, S1, S21, S22, S23 Phase.
Embodiment 2: as shown in accompanying drawing 3, accompanying drawing 4, accompanying drawing 5, table 1, table 2, table 3, this multifactor explanation side of igneous rock well logging Method comprises the following steps:
The first step: setting up igneous reservoirs gas and survey oiliness index (Qzs) model, computing formula is:
Qzs=Uh × C3/C4 × Ln (2-1/Fjb) × eK
In formula, Qzs: gas surveys oiliness index；Fjb: gas logging abnormal display segment total hydrocarbon peak value and the ratio of base value；Uh: hydrocarbon Phase coefficient；Nc: hydrocarbon peak coefficient；K: obtain after being surveyed component exponential fitting by gas, the lapse rate of reflection hydrocarbon component；B: surveyed component by gas Obtain after exponential fitting, with total hydrocarbon in gas logging content positive correlation, reflect oil-containing (gas) abundance, e: for constant, numerical value is about 2.71828；
Second step: the gas that the chromatograph using comprehensive logging instrument to carry directly records surveys component C 3, C4, wherein C4=iC4+ NC4 value；
3rd step: Fjb=gas logging abnormal display segment total hydrocarbon maximum/gas logging abnormal section upper formation total hydrocarbon base value；
4th step: the gas that gas logging abnormal section maximum gas logging abnormal point is corresponding surveys component C 1, C2, C3, iC4, nC4, iC5 value is led to Draw after crossing exponential fitting, the numerical value 0.847 in K value i.e. accompanying drawing equation.
5th step: by rock pyrolysis " five peak analytic process " and by calculated parameter S21, S22, ST, carry out group Rock pyrolysis index complex parameter is obtained: i.e. S21/S22*ST2 after conjunction, wherein, ST=S0+S1+S21+S22+S23；
6th step: surveying parameter by gas and set up igneous rock hydrocarbon zone interpretation model with pyrolysis parameters of rock intersection, wherein, transverse axis is joined Number is: S21/S22*ST2；Longitudinal axis parameter is: Qzs.
Qzs-S21/S22*ST2 model as shown in Figure 3, in accompanying drawing the data point of corresponding different oil reservoirs respectively with table 2 Corresponding with the data in table 3.The Qzs-S21/S22*ST2 model set up according to the data in table 2 and table 3, by a certain The gas in area is surveyed, rock pyrolysis sensitive parameter extracts, and merges existing well logging hydrocarbon zone interpretation experience, establishes and be applicable to igneous rock The interpretation model of oil-gas Layer logging explanation, applies respond well.By model above at Junggar Basin igneous reservoirs oil gas The practice of interpretation process, makes igneous reservoirs logging explanation coincidence rate bring up to current 88.9% from 60.27%, application Implementation result is good.
Above technical characteristic constitutes embodiments of the invention, and it has stronger adaptability and implementation result, can basis It is actually needed the non-essential technical characteristic of increase and decrease, meets the demand of different situations.
Table 1 is rock pyrolysis temperature range and the component mapping table of the embodiment of the present invention 2
Table 2 is the QZS model parameter index table of the embodiment of the present invention 2
Uh C3 IC4 Fjb NC4 Gas surveys peak value well depth k Qzs
0.267 0.0418 0.0112 16.83 0.0139 4313 1.007 0.806
0.688 0.0082 0.0016 7.2867 0.0018 3938 1.511 4.674
0.533 0.0132 0.0019 20.345 0.0022 4318 1.311 4.257
0.533 0.0343 0.01 22.729 0.0119 4203 0.935 1.427
0.643 0.1023 0.0391 19.816 0.0296 3886 0.916 1.597
0.500 0.0128 0.0041 43.941 0.0046 3192 1.166 1.609
0.556 0.1037 0.0161 18.198 0.0168 3068 1.667 6.170
0.250 0.0075 0.0014 3.119 0.0018 3187 1.645 1.574
0.500 0.2734 0.0695 17.851 0.0834 2939 1.042 1.685
0.625 0.0215 0.0058 7.8094 0.0072 3351 1.013 1.785
0.857 0.1198 0.0213 171.26 0.0319 4209 1.209 4.463
1.000 0.0804 0.0127 178.8 0.0185 4233 1.324 6.686
0.900 0.0078 0.0012 17.002 0.0017 4237 1.241 5.5540129
0.882 0.1067 0.0213 59.499 0.0278 4131 1.064 3.805
0.824 0.013 0.006 5.6106 0.0079 3144 0.778 1.0057714
1.000 0.0061 0.0009 21.401 0.0011 4204 1.05 5.8353098
0.733 0.0071 0.0009 13.882 0.0012 4228 1.407 6.647
0.611 0.0112 0.0018 61.06 0.0023 3867 1.145 3.5930596
0.850 0.0133 0.0025 16.552 0.0032 3396 1.593 6.4624209
0.750 0.0391 0.0098 28.628 0.0088 3059 1.178 3.459
0.833 1.4087 0.29 294.6 0.339 3020 1.07 3.762
0.667 0.3833 0.1233 654.67 0.1172 3509 0.972 1.945
0.400 0.0038 0.001 2.6224 0.002 3240 1.241 0.844059
0.415 0.0965 0.0216 122.67 0.0158 4780 1.171 2.4370386
0.500 0.239 0.036 27.551 0.058 2878 0.889 2.0870057
0.700 0.032 0.008 9.0592 0.006 4695 1.104 3.0710924
0.833 1.4087 0.29 294.6 0.339 3020 1.07 3.7621974
0.929 0.4417 0.0915 22.182 0.1032 2817 1.052 4.0434817
1.000 0.0248 0.007 16.143 0.008 2915 1.009 3.0006458
Table 3 is the rock pyrolysis analysis index table of the embodiment of the present invention 2
s0 s1 s21 s22 s23 ST Formation testing result S21/S22*ST2
0.00 0.21 0.31 0.21 0.05 0.78 Dried layer 0.898114286
0.04 0.19 0.75 0.66 0.17 1.81 Oil-containing water layer 3.722840909
0.06 0.08 2.24 0.65 0.23 3.26 Water layer 36.62434462
0.00 0.02 0.19 0.05 0.02 0.28 Water layer 0.29792
0.12 0.43 4.12 5.44 1.28 11.39 Water layer 98.2529875
0.02 0.14 1.55 1.34 0.26 3.31 Water layer 12.76560334
0.02 0.04 0.27 2.52 1.21 4.06 Water layer 1.753641813
0.01 0.08 1.74 1.50 0.27 3.60 Water layer 15.00281915
0.00 0.24 0.56 0.11 0.02 0.93 Water layer 4.403127273
0.03 0.12 1.08 1.53 0.93 3.69 Water layer 9.611364706
0.05 1.39 5.72 5.15 0.95 13.26 Oil reservoir 195.2881305
0.05 1.18 4.52 5.43 1.07 12.25 Oil reservoir 124.9139042
0.06 1.15 3.88 1.08 0.12 6.29 Oil reservoir 142.1376926
0.15 1.31 8.35 3.66 2.03 15.50 Oil reservoir 548.1113388
0.03 0.63 7.15 5.03 0.98 13.82 Oil-water common-layer 271.4212368
0.01 0.04 1.25 0.39 0.06 1.75 Oil-water common-layer 9.815705128
0.07 0.42 1.57 0.49 0.29 2.84 Oil-water common-layer 25.84284082
0.27 0.58 3.56 2.56 2.78 9.75 Oil-water common-layer 132.1962891
0.17 0.69 2.82 2.29 0.52 6.49 Oil-water common-layer 51.86842009
0.02 0.24 1.61 1.00 0.26 3.12 Profit (gas) same to layer 15.71998838
0.02 1.50 6.39 3.04 0.64 11.59 Oil-water common-layer 282.3541313
0.02 0.09 1.35 0.88 0.28 2.61 Oil-containing water layer 10.51679898
0.02 0.12 0.23 0.13 0.11 0.61 Water layer 0.658330769
0.07 0.45 2.35 0.77 0.22 3.86 Water layer 45.47280519
0.03 0.8 2.91 3.55 0.41 7.70 Water layer 48.60109859
0.03 0.7 4.64 2.03 0.94 8.34 Oil-containing water layer 158.9842286
0.02 1.5 6.39 3.04 0.64 11.59 Oil-water common-layer 282.3541313
0.043 0.655 9.502 8.5596 1.929 20.69 Oil-gas Layer 475.1849347
0.04 0.45 6.06 6.05 2.37 14.97 Gas-bearing formation 224.4713147

Claims (3)

1. the multifactor means of interpretation of igneous rock well logging, it is characterised in that comprise the following steps:
The first step: set up igneous rock logging explanation data base, compiles gas by the way of comprehensive logging instrument and artificial collection Survey relevant parameter, formation testing relevant parameter, rock pyrolysis relevant parameter and parameter is carried out preferably, sort out, formation logging explanation number According to storehouse；
Second step: extract gas and survey sensitive parameter and rock pyrolysis sensitive parameter, derive respectively fire from logging explanation data base The gas that diagenesis reservoir oily properties evaluations is relevant surveys sensitive parameter and the parameter of rock pyrolysis sensitivity；
3rd step: survey sensitive parameter and rock pyrolysis sensitive parameter according to Regional Geological Characteristics Reservoir type and gas, selects to explain Evaluation criterion parameter is set up Igneous gas and is surveyed oiliness exponential model, and computing formula is as follows:
Qzs=Uh × C3/C4×Ln(2-1/Fjb)×eK
In formula, Qzs: gas surveys oiliness index；Fjb: gas logging abnormal display segment total hydrocarbon peak value and the ratio of base value；Uh: hydrocarbon phase system Number；Nc: hydrocarbon peak coefficient；K: obtain after being surveyed component exponential fitting by gas, the lapse rate of reflection hydrocarbon component；B: surveyed component index by gas Obtain after matching, with total hydrocarbon in gas logging content positive correlation, reflect oil-containing (gas) abundance, e: for constant, numerical value is about 2.71828；
4th step: set up rock pyrolysis parameter built-up pattern, uses " five peak analytic process " to obtain parameter S21, S22 and ST, carries out The complex parameter obtained after combination, i.e. rock pyrolysis parameter combination S21/S22*ST2；
5th step: Igneous gas is surveyed oiliness exponential model and rock pyrolysis parameter built-up pattern intersection to set up well logging multifactor Interpretation chart.
The multifactor means of interpretation of igneous rock well logging the most according to claim 1, it is characterised in that in the 3rd step, hydrocarbon phase coefficient The computing formula of Uh is as follows:
Uh=h gas/h storage
Wherein, h gas is that gas logging abnormal shows one-tenth-value thickness 1/10；H storage is the reservoir thickness value that gas logging abnormal display segment is corresponding.
The multifactor means of interpretation of igneous rock well logging the most according to claim 1 and 2, it is characterised in that in the 4th step, " five peaks Analytic process " it is by arranging five temperature ranges, the corresponding achievement spectrogram peak of each temperature range, there are five analyses Peak, i.e. S0, S1, S21, S22, S23 and S0+S1+S21+S22+S23=ST, temperature range forms achievement spectrogram with component parameter.
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CN107622450A (en) * 2016-07-15 2018-01-23 中国石油化工股份有限公司 Possesses the method for economic flow rate based on well-log information Quick horizontal well
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CN108205157A (en) * 2016-12-16 2018-06-26 中国石油化工股份有限公司 Igneous rock interior fault means of interpretation
CN106761729A (en) * 2017-03-02 2017-05-31 中国石油集团西部钻探工程有限公司 Hypotonic conglomerate well logging multi-parameter means of interpretation
CN110019119A (en) * 2017-10-12 2019-07-16 中石化石油工程技术服务有限公司 A kind of reservoir oil-gas possibility logging explanation method and device
CN110019119B (en) * 2017-10-12 2021-09-21 中石化石油工程技术服务有限公司 Reservoir oil-gas-containing logging interpretation method and device
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CN110486010A (en) * 2019-09-10 2019-11-22 中国海洋石油集团有限公司 A kind of reservoir oil-gas possibility quantitative evaluation method based on gas detection logging parameter
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Application publication date: 20161116