CN106437691B - A kind of low gas-oil ratio oil reservoir gas survey evaluation method - Google Patents
A kind of low gas-oil ratio oil reservoir gas survey evaluation method Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims abstract description 20
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 54
- 238000003908 quality control method Methods 0.000 claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 229930195733 hydrocarbon Natural products 0.000 claims description 30
- 150000002430 hydrocarbons Chemical class 0.000 claims description 30
- 239000004215 Carbon black (E152) Substances 0.000 claims description 29
- OFBQJSOFQDEBGM-UHFFFAOYSA-N n-pentane Natural products CCCCC OFBQJSOFQDEBGM-UHFFFAOYSA-N 0.000 claims description 28
- 230000015572 biosynthetic process Effects 0.000 claims description 17
- 238000012360 testing method Methods 0.000 claims description 16
- 239000001273 butane Substances 0.000 claims description 10
- IJDNQMDRQITEOD-UHFFFAOYSA-N n-butane Chemical compound CCCC IJDNQMDRQITEOD-UHFFFAOYSA-N 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 claims description 8
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 8
- JXSJBGJIGXNWCI-UHFFFAOYSA-N diethyl 2-[(dimethoxyphosphorothioyl)thio]succinate Chemical compound CCOC(=O)CC(SP(=S)(OC)OC)C(=O)OCC JXSJBGJIGXNWCI-UHFFFAOYSA-N 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- OTMSDBZUPAUEDD-UHFFFAOYSA-N Ethane Chemical compound CC OTMSDBZUPAUEDD-UHFFFAOYSA-N 0.000 claims description 4
- 239000012530 fluid Substances 0.000 claims description 4
- 239000001294 propane Substances 0.000 claims description 4
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 3
- 241000208340 Araliaceae Species 0.000 claims description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 3
- 235000008434 ginseng Nutrition 0.000 claims description 3
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- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
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Abstract
A kind of low gas-oil ratio oil reservoir gas surveys that evaluation method is related to the technical field of oil development reservoir engineering more particularly to a kind of low gas-oil ratio oil reservoir gas surveys evaluation method.The present invention proposes that a kind of low gas-oil ratio oil reservoir gas surveys evaluation method, which solves the problems, such as in exploration and development that interpretation coincidence rate is low, oil-gas reservoir recognizes unclear, oil water relation and analyzes unknown, improves exploration effects.Include the following steps: step 1, obtains well data.The control of step 2 parameter quality: establishing gas mass metering controlling curve template, and gas measured data is imported quality control curves template, chooses gas measured data of the quality control ratio between 0.8 ~ 2.0 as the analysis data to conform to quality requirements.Step 3, parameter selection: utilizing grey-conjunction analysis method, finds the relationship of gas measured data and oil-gas-water layer.Step 4, parameter study and oil reservoir gas are surveyed evaluation method and are established.Two-dimensional linear cross plot-gas reservoir prediction plate is established, and marks off different explanation conclusion sections.
Description
Technical field
The present invention relates to the technical field of oil development reservoir engineering more particularly to a kind of low gas-oil ratio oil reservoir gas assessment valences
Method.
Background technique
Changqing oilfields Ordos Basin is typical hypotonic, low pressure, low-abundance " three-lows " oil gas field, due to lacking in early days
Mud logging techniques support that causing oil-gas reservoir to recognize, unclear, oil water relation analysis is unknown, affect exploration effects.Especially Jurassic system
YAN ' AN FORMATION stratum is low gas-oil ratio reservoir, brings huge problem to interpretation and evaluation.
Currently, there are two types of common technological means: first is that by analysis log parameter, since the well logging of three low countries is bent
Line and the response of oil-water-layer relationship are bad, cause interpretation coincidence rate relatively low.Second is that being changed by well logging, the technologies such as lighter hydrocarbons implement oil-containing
Property, determine oil water relation.But in view of the particularity and concealment of oil reservoir, although this means of interpretation is intuitive, whole coincidence rate
It is relatively low, it is difficult to meet and explain requirement, virtually increase exploration cost.
Summary of the invention
The present invention proposes that a kind of low gas-oil ratio oil reservoir gas surveys evaluation method aiming at defect of the existing technology, should
Evaluation method solves the problems, such as in exploration and development that interpretation coincidence rate is low, oil-gas reservoir recognizes unclear, oil water relation and analyzes unknown, mentions
High exploration effects.
To achieve the above object, the present invention adopts the following technical scheme that, includes the following steps:
Step 1 obtains well data: collecting the gas measured data and formation testing data of live formation testing layer.
The control of step 2 parameter quality: establishing gas mass metering controlling curve template, and gas measured data is imported quality control curves
Template, quality control curves template can calculate automatically mass control ratio range according to gas detection logging FLAIR formula, choose matter
Gas measured data of the control ratio between 0.8~2.0 is measured as the analysis data to conform to quality requirements.FLAIR formula is as follows:
RQ=Tg/Tg ' (1)
Wherein
Tg=C1+C2+C3+C4+C5 (2)
Tg '=C1+2C2+3C3+4C4+5C5 (3)
RQRatio is controlled for quality, C1 is methane, and C2 is ethane, and C3 is propane, and C4 is butane, and C5 is pentane.
Step 3 parameter selection
Using grey-conjunction analysis method, the relationship of gas measured data and oil-gas-water layer is found；Conjunction is provided to establish means of interpretation
Manage parameter.
1) reference sequences and comparison sequence are determined；Reference sequences Y and comparison sequence XiRespectively
Y=Y (j) | j=1,2 ..., n } (4)
Xi=Xi (j) | and j=1,2 ..., n }, i=1,2 ..., m (5)
Wherein, Y (j) indicates value corresponding to j-th of parameter of reference sequences, XiIndicate i-th of comparison sequence, Xi (j) table
Show value corresponding to i comparison j-th of parameter of sequence.
Reference sequences Y chooses the day oil-producing in formation testing data, takes comparison sequence XiIt is the quality control through step 2 than screening
Gas measured data afterwards.Reference sequences and comparison sequence value are shown in Table 1:
1. sequence selection statistical form of table
| Sequence | Parameter selection | Sequence | Parameter selection | Sequence | Parameter selection |
| Reference sequences Y | Day oil-producing | Compare sequence X 6 | Weight ratio LH | Compare sequence X 12 | C3/C2 |
| Compare sequence X 1 | Total hydrocarbon Tg | Compare sequence X 7 | Compare Lm in light | Compare sequence X 13 | C4/C2 |
| Compare sequence X 2 | Peak base ratio | Compare sequence X 8 | Compare Hm in weight | Compare sequence X 14 | C4/C3 |
| Compare sequence X 3 | Humidity ratio Wh | Compare sequence X 9 | C2/C1 | Than sequence X 15 | iC4/nC4 |
| Compare sequence X 4 | Equilibrium ratio Bh | Compare sequence X 10 | C3/C1 | ||
| Compare sequence X 5 | Aspect ratio Ch | Compare sequence X 11 | C4/C1 |
In table 1, each parameter is respectively as follows:
Day oil-producing: average daily oil production.
Total hydrocarbon Tg: C1 to iC5 measured by gas detection logging sum, Tg=C1+C2+C3+nC4+iC4+nC5+iC5.
Peak base ratio: gas detection logging measures the ratio between the maximum value and minimum value on a certain section of stratum.
Humidity ratio Wh:
Wh=(C2+C3+nC4+iC4+nC5+iC5)/(C1+C2+C3+nC4+iC4+nC5+iC5).
Equilibrium ratio Bh:Bh=(C1+C2)/(C3+nC4+iC4+nC5+iC5).
Aspect ratio Ch:Ch=(C4+C5)/C3.
Weight ratio Lh:Lh=100* (C1+C2)/(C4+C5)3。
Than Lm:Lm=10*C1/ (C2+C3) in light2。
Than Hm:Hm=(C4+C5) in weight2/C3。
Each parameter in table 1, nC4 and iC4 are two different configurations of C4, and nC4 indicates that positive structure butane, iC4 indicate different
Structure butane；NC5 and iC5 is two different configurations of C5, and nC5 indicates that positive structure pentane, iC5 indicate isomery pentane.
2) comparison sequence carries out nondimensionalization processing, and formula is as follows:
Wherein, Xi indicates i-th of comparison sequence, and Xi (j) indicates value corresponding to i comparison j-th of parameter of sequence, xi (j)
Indicate the average value of i comparison sequence.
3) resolution ratio ρ is calculated
Enable η=Δ ν/Δmax, then the value of resolution ratio ρ are as follows: work as ΔmaxWhen 3 ν of >, the η of η≤ρ≤1.5.Work as Δmax≤3Δ
When ν, 1.5 η < ρ≤2 η.
4) reference sequences are sought and compare the grey incidence coefficient ξ i (j) of sequence:
Wherein, ξi(j) incidence coefficient corresponding to serial j-th of the parameter of i-th of comparison, x are indicatedi(j) indicate that i compares sequence
Value after nondimensionalization corresponding to j-th of parameter of column, after y (j) indicates nondimensionalization corresponding to j-th of parameter of reference sequences
Value, p is resolution ratio.
5) degree of association r is soughti:
Wherein, riIndicate the degree of association between i-th of comparison series and reference sequences, ξi(j) i-th of comparison series is indicated
Incidence coefficient corresponding to j-th of parameter.Specific value and calculating are as follows, and reference sequences and comparison sequence value are shown in Table 2；Table 2
For reference sequences and comparison sequence value table
| Sequence | Affecting parameters | Depth 1 | Depth 2 | ... | Depth 70 |
| Reference sequences Y | Day oil-producing | 21.1700 | 10.7100 | ... | 4.3400 |
| Compare sequence X 1 | Total hydrocarbon Tg | 4.3339 | 0.0784 | ... | 0.2738 |
| Compare sequence X 2 | Peak base ratio | 6.6369 | 2.6133 | ... | 3.9739 |
| Compare sequence X 3 | Humidity ratio Wh | 0.5621 | 0.3832 | ... | 0.5705 |
| Compare sequence X 4 | Equilibrium ratio Bh | 1.2575 | 10.2000 | ... | 1.0297 |
| Compare sequence X 5 | Aspect ratio Ch | 1.1561 | 2.6842 | ... | 2.9101 |
| Compare sequence X 6 | Weight ratio Lh | 221.3109 | 53825451.75 | ... | 13724.6446 |
| Compare sequence X 7 | Compare Lm in light | 9.5906 | 1921.9589 | ... | 377.6930 |
| Compare sequence X 8 | Compare Hm in weight | 1.1901 | 0.0137 | ... | 0.2922 |
| Compare sequence X 9 | C2/C1 | 0.2721 | 0.2705 | ... | 0.1811 |
| Compare sequence X 10 | C3/C1 | 0.4692 | 0.0338 | ... | 0.2934 |
| Compare sequence X 11 | C4/C1 | 0.3750 | 0.0801 | ... | 0.4847 |
| Compare sequence X 12 | C3/C2 | 1.7246 | 1.1250 | ... | 1.6197 |
| Compare sequence X 13 | C4/C2 | 1.3783 | 0.2961 | ... | 2.6761 |
| Compare sequence X 14 | C4/C3 | 0.7992 | 2.3684 | ... | 1.6522 |
| Compare sequence X 15 | iC4/nC4 | 0.6063 | 1.2500 | ... | 0.2527 |
In table 2, X1 ..., X15, the value 15, i=1 ... of m in representation formula (5), 15；Depth 1 ..., depth 70, table
Show the n value 70, j=1 ... in formula (5), 70.
Firstly, each comparison sequence in table 2 is updated in formula (6), comparison sequence carries out nondimensionalization processing；Again will
Nondimensionalization treated comparison sequence and reference sequences substitute into formula (7) and (8) respectively, utilize the value Δ v and Δ acquiredmax,
Enable η=Δ v/ Δmax, then the value of resolution ratio ρ are as follows: work as ΔmaxWhen 3 Δ v of >, the η of η≤ρ≤1.5.Work as ΔmaxWhen≤3 Δ v,
1.5 η < ρ≤2 η；Calculate resolution ratio ρ.By reference sequences, treated comparison sequence and resolution ratio ρ substitute into formula (9),
It seeks reference sequences and compares the grey incidence coefficient ξ i (j) of sequence；Finally, by the grey incidence coefficient ξ i (j) of acquisition generation again
Enter to acquire the degree of association of reference sequences and each comparison sequence to formula (10).Obtained comparison sequence and each reference sequences
The degree of association is shown in Table 3:
3. degree of association statistical form of table
| Compare sequence | The degree of association | Compare sequence | The degree of association | Compare sequence | The degree of association |
| C3/C2 | 0.7765 | C4/C2 | 0.6410 | C3/C1 | 0.6106 |
| Humidity ratio Wh | 0.7168 | Aspect ratio Ch | 0.6270 | C2/C1 | 0.6097 |
| Total hydrocarbon Tg | 0.6674 | C4/C3 | 0.6253 | Peak base ratio | 0.6012 |
| Compare Hm in weight | 0.6587 | Equilibrium ratio Bh | 0.6136 | Compare Lm in light | 0.5086 |
| C4/C1 | 0.6579 | iC4/nC4 | 0.6106 | Weight ratio Lh | 0.4336 |
Degree of association degree of being associated obtained in table 3 is analyzed, the numerical value of the degree of association is bigger, indicates comparison sequence and ginseng
The degree of association for examining sequence is higher.It can be obtained by the degree of association data of table 3, two parameters of C3/C2 and humidity ratio Wh and day oil-producing
Degree of association highest.
Step 4 parameter study and oil reservoir gas are surveyed evaluation method and are established
1) the highest parameter C3/C2 of the degree of association, humidity ratio Wh are subjected to Block Characteristic analysis, demarcation interval value.
Selecting and counting to 200 mouthfuls of low gas-oil ratio well formation testing gas testing data, finds out low gas-oil ratio oil-water-layer Gas logging data
The interval range of two C3/C2, humidity ratio Wh parameters, are shown in Table 4.
4. oil-water-layer reservoir Gas logging data parameter section Data-Statistics table of table
| Fluid type of reservoir through | C3/C2 | Wh |
| Oil reservoir | ≥1.2 | ≥0.42 |
| Oil-water common-layer | ≥1.0 | ≥0.35 |
| Water layer | < 1.0 | < 0.35 |
It can be obtained by table 4, the relationship of gas measured data C3/C2 and humidity ratio Wh and steam oil ratio (SOR) reservoir:
It is oil reservoir, oil-water common-layer reservoir as C3/C2 >=1.0, Wh >=0.35；
It is the water layer for including oil-containing water layer as C3/C2 < 1.0, Wh < 0.35；
2) using characteristic parameter Wh as the longitudinal axis, C3/C2 establishes two-dimensional linear cross plot as horizontal axis, by gas measured data
Cultellation marks off different explanation conclusion sections on cross plot: oil reservoir and oil-water common-layer section separate obviously with water layer.
Beneficial effect of the present invention compared with prior art.
1, met by being explained in the exploration and development of Wh-C3/C2 low gas-oil ratio oil reservoir gas survey evaluation method very good solution
Rate is low, and oil-gas reservoir recognizes unclear, oil water relation and analyzes unknown problem, improves exploration effects, embodies the section of means of interpretation
The property learned.
2, the drawbacks of establishing and explain template, low gas-oil ratio block is avoided to explain leakiness reservoir；Improve RESERVOIR INTERPRETATION evaluation
Particularity or specific aim.
3, preferred by parameter, eliminate the influence and interference of unfavorable parameter, achievement or conclusion gradually tend to it is scientific,
Rationalize.
4, reduce exploration cost, embody the economy in low gas-oil ratio area, improve RESERVOIR INTERPRETATION evaluation when
Effect property and science.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings and detailed description.The scope of the present invention not only limits to
In the statement of the following contents.
Fig. 1 is quality control curves Prototype drawing of the present invention.
Fig. 2 is that gas of the present invention surveys Wh-C3/C2 explanation figure.
Fig. 3 is that gas surveys Wh-C3/C2 explanation figure in the embodiment of the present invention.
Specific embodiment
Technical solution of the present invention includes the following steps.
Step 1 obtains well data: collecting live gas measured data and formation testing data.
The control of step 2 parameter quality: gas mass metering controlling curve template is established, as shown in Figure 1.In Fig. 1,
C1 is methane, and C2 is ethane, and C3 is propane, and iC4 is isomery butane, and nC4 is positive structure butane.
Total hydrocarbon: total hydrocarbon=C1+C2+C3+nC4+iC4+nC5+iC5.
Heavy hydrocarbon: heavy hydrocarbon=C2+C3+nC4+iC4+nC5+iC5.
Humidity ratio: Wh=(C2+C3+nC4+iC4+nC5+iC5)/(C1+C2+C3+nC4+iC4+nC5+iC5).
Equilibrium ratio: Bh=(C1+C2)/(C3+nC4+iC4+nC5+iC5).
Quality control curves value: RQ=(C1+C2+C3+C4+C5)/(C1+2C2+3C3+4C4+5C5).
Gas measured data is imported into quality control curves template, quality control curves template can be public according to gas detection logging FLAIR
Formula calculates mass control ratio range automatically, according to many years gas detection logging application, by quality control ratio and formation testing conclusion phase
Association finds that gas measured data of the quality control ratio range between 0.8~2.0 can really reflect formation fluid property；Choosing
Quality control ratio is taken, i.e. gas measured data of the quality control curves value between 0.8~2.0 is as the analysis to conform to quality requirements
Data.FLAIR formula is as follows:
RQ=Tg/Tg'(1)
Wherein
Tg=C1+C2+C3+C4+C5 (2)
Tg '=C1+2C2+3C3+4C4+5C5 (3)
RQRatio is controlled for quality, C1 is methane, and C2 is ethane, and C3 is propane, and C4 is butane, and C5 is pentane.
Step 3 parameter selection.
Using grey-conjunction analysis method, the relationship of gas measured data and oil-gas-water layer is found；Conjunction is provided to establish means of interpretation
Manage parameter.
1) reference sequences and comparison sequence are determined；Reference sequences Y and comparison sequence XiRespectively
Y=Y (j) | j=1,2 ..., n } (4)
Xi=Xi (j) | and j=1,2 ..., n }, i=1,2 ..., m (5)
Wherein, Y (j) indicates value corresponding to j-th of parameter of reference sequences, XiIndicate i-th of comparison sequence, Xi (j) table
Show value corresponding to i comparison j-th of parameter of sequence.
Taking reference sequences Y is day oil-producing, takes comparison sequence XiTo survey number than the gas after screening through the control of the quality of step 2
According to.
Reference sequences and comparison sequence value are shown in Table 1:
1. sequence selection statistical form of table
| Sequence | Parameter selection | Sequence | Parameter selection | Sequence | Parameter selection |
| Reference sequences Y | Day oil-producing | It is preceding than sequence X 6 | Weight ratio Lh | It is preceding than sequence X 12 | C3/C2 |
| Compare sequence X 1 | Total hydrocarbon Tg | Compare sequence X 7 | Compare Lm in light | Compare sequence X 13 | C4/C2 |
| Compare sequence X 2 | Peak base ratio | Compare sequence X 8 | Compare Hm in weight | Compare sequence X 14 | C4/C3 |
| Compare sequence X 3 | Humidity ratio Wh | Compare sequence X 9 | C2/C1 | Compare sequence X 15 | iC4/nC4 |
| Compare sequence X 4 | Equilibrium ratio Bh | Compare sequence X 10 | C3/C1 | ||
| Compare sequence X 5 | Aspect ratio Ch | Compare sequence X 11 | C4/C1 |
In table 1, each parameter is respectively as follows:
Day oil-producing: average daily oil production.
Total hydrocarbon Tg: C1 to iC5 measured by gas detection logging sum, Tg=C1+C2+C3+nC4+iC4+nC5+iC5.
Peak base ratio: gas detection logging measures the ratio between the maximum value and minimum value on a certain section of stratum.
Humidity ratio: Wh=(C2+C3+nC4+iC4+nC5+iC5)/(C1+C2+C3+nC4+iC4+nC5+iC5).
Equilibrium ratio: Bh=(C1+C2)/(C3+nC4+iC4+nC5+iC5).
Aspect ratio: Ch=(C4+C5)/C3.
Weight ratio: Lh=100* (C1+C2)/(C4+C5)3。
Ratio in light: Lm=10*C1/ (C2+C3)2。
Compare in weight: Hm=(C4+C5)2/C3。
Each parameter in table 1, nC4 and iC4 are two different configurations of C4, and nC4 indicates that positive structure butane, iC4 indicate different
Structure butane；NC5 and iC5 is two different configurations of C5, and nC5 indicates that positive structure pentane, iC5 indicate isomery pentane.
2) comparison sequence carries out nondimensionalization processing, and formula is as follows:
Wherein, Xi indicates i-th of comparison sequence, and Xi (j) indicates value corresponding to i comparison j-th of parameter of sequence, xi (j)
Indicate the average value of i comparison sequence.
3) resolution ratio ρ is calculated
Remember η=Δ ν/Δmax, then the value of resolution ratio ρ are as follows: work as ΔmaxWhen 3 ν of >, the η of η≤ρ≤1.5；When Δ max≤3
When Δ ν, 1.5 η < ρ≤2 η.
4) reference sequences are sought and compare the grey incidence coefficient ξ i (j) of sequence:
Wherein, ξi(j) indicate that incidence coefficient corresponding to serial j-th of the parameter of i-th of comparison, xi (j) indicate that i compares sequence
Value after nondimensionalization corresponding to j-th of parameter of column, after y (j) indicates nondimensionalization corresponding to j-th of parameter of reference sequences
Value, ρ is resolution ratio.
5) degree of association r is soughti:
Wherein, riIndicate the degree of association between i-th of comparison series and reference sequences, ξi(j) i-th of comparison series is indicated
Incidence coefficient corresponding to j-th of parameter.Specific value and calculating are as follows, and reference sequences and comparison sequence value are shown in Table 2: table 2.
Reference sequences and comparison sequence value table
| Sequence | Affecting parameters | Depth 1 | Depth 2 | ... | Depth 70 |
| Reference sequences Y | Day oil-producing | 21.1700 | 10.7100 | ... | 4.3400 |
| Compare sequence X 1 | Total hydrocarbon Tg | 4.3339 | 0.0784 | ... | 0.2738 |
| Compare sequence X 2 | Peak base ratio | 6.6369 | 2.6133 | ... | 3.9739 |
| Compare sequence X 3 | Humidity ratio Wh | 0.5621 | 0.3832 | ... | 0.5705 |
| Compare sequence X 4 | Equilibrium ratio Bh | 1.2575 | 10.2000 | ... | 1.0297 |
| Compare sequence X 5 | Aspect ratio Ch | 1.1561 | 2.6842 | ... | 2.9101 |
| Compare sequence X 6 | Weight ratio Lh | 221.3109 | 53825451.75 | ... | 13724.6446 |
| Compare sequence X 7 | Compare Lm in light | 9.5906 | 1921.9589 | ... | 377.6930 |
| Compare sequence X 8 | Compare Hm in weight | 1.1901 | 0.0137 | ... | 0.2922 |
| Compare sequence X 9 | C2/C1 | 0.2721 | 0.2705 | ... | 0.1811 |
| Compare sequence X 10 | C3/C1 | 0.4692 | 0.0338 | ... | 0.2934 |
| Compare sequence X 11 | C4/C1 | 0.3750 | 0.0801 | ... | 0.4847 |
| Compare sequence X 12 | C3/C2 | 1.7246 | 1.1250 | ... | 1.6197 |
| Compare sequence X 13 | C4/C2 | 1.3783 | 0.2961 | ... | 2.6761 |
| Compare sequence X 14 | C4/C3 | 0.7992 | 2.3684 | ... | 1.6522 |
| Compare sequence X 15 | iC4/nC4 | 0.6063 | 1.2500 | ... | 0.2527 |
In table 2, X1 ..., X15, the value 15, i=1 ... of m in representation formula (5), 15；Depth 1 ..., depth 70, table
Show the n value 70, j=1 ... in formula (5), 70.
Firstly, each comparison sequence in table 2 is updated to formula (6) respectively carries out nondimensionalization processing；Again by dimensionless
Change treated comparison sequence and reference sequences substitute into formula (7) and (8) respectively, to determine the value of resolution coefficient p；It will refer to
Sequence, treated comparison sequence and resolution coefficient p substitute into formula (9), seek reference sequences and compare sequence grey correlation
Coefficient ξ i (j)；Finally the grey incidence coefficient ξ i (j) of acquisition is updated to formula (10) again, acquires reference sequences and each comparison
The degree of association of sequence.Obtained comparison sequence and the degree of association of each reference sequences are shown in Table 3:
3. degree of association statistical form of table
| Compare sequence | The degree of association | Compare sequence | The degree of association | Compare sequence | The degree of association |
| C3/C2 | 0.7765 | C4/C2 | 0.6410 | C3/C1 | 0.6106 |
| Humidity ratio Wh | 0.7168 | Aspect ratio Ch | 0.6270 | C2/C1 | 0.6097 |
| Total hydrocarbon Tg | 0.6674 | C4/C3 | 0.6253 | Peak base ratio | 0.6012 |
| Compare Hm in weight | 0.6587 | Equilibrium ratio Bh | 0.6136 | Compare Lm in light | 0.5086 |
| C4/C1 | 0.6579 | iC4/nC4 | 0.6106 | Weight ratio Lh | 0.4336 |
Degree of association degree of being associated obtained in table 3 is analyzed, the numerical value of the degree of association is bigger, indicates comparison sequence and ginseng
The degree of association for examining sequence is higher.It can be obtained by the degree of association data of table 3, two parameters of C3/C2 and humidity ratio Wh and day oil-producing
Degree of association highest.
Step 4 parameter study and oil reservoir gas are surveyed evaluation method and are established.
1) the highest parameter C3/C2 of the degree of association, humidity ratio Wh are subjected to Block Characteristic analysis, demarcation interval value.
Selecting and counting to 200 mouthfuls of low gas-oil ratio well formation testing gas testing data, finds out low gas-oil ratio oil-water-layer Gas logging data
The interval range of two C3/C2, humidity ratio Wh parameters, are shown in Table 4.
4. oil-water-layer reservoir Gas logging data parameter section Data-Statistics table of table
| Fluid type of reservoir through | C3/C2 | Wh |
| Oil reservoir | ≥1.2 | ≥0.42 |
| Oil-water common-layer | ≥1.0 | ≥0.35 |
| Water layer | < 1.0 | < 0.35 |
It can be obtained by table 4, the relationship of gas measured data C3/C2 and humidity ratio Wh and steam oil ratio (SOR) reservoir:
It is oil reservoir, oil-water common-layer reservoir as C3/C2 >=1.0, Wh >=0.35.
It is the water layer for including oil-containing water layer as C3/C2 < 1.0, Wh < 0.35.
2) using characteristic parameter Wh as the longitudinal axis, C3/C2 establishes two-dimensional linear cross plot as horizontal axis, has tried all
The gas measured data cultellation of oil reservoir marks off different explanation conclusion section: oil reservoir, oil-water common-layer area and water layer on cross plot
Separation is obvious.
As shown in Figure 2, it can be seen that, demarcation interval is come with 1.0, ordinate with 0.35 with abscissa.
It is oil reservoir, oil-water common-layer when gas measured data point is located at the section of abscissa value >=1.0 and ordinate value >=0.35
Area.
It is the water of oil-containing water layer when gas measured data point is located at the section of abscissa value < 1.0, ordinate value < 0.35
Layer.
In order to keep this method application more extensive, it is convenient for field application, carries out oil-water-layer interpretation and evaluation using this method
When, cultellation is carried out with the ratio section of Wh and C3/C2, carries out comprehensive interpretation and evaluation in conjunction with the group division aspect of gas logging curve.
By taking certain well section as an example, illustrate that low gas-oil ratio oil reservoir gas surveys evaluation method.
1. determining analysis ordered series of numbers
With this area day oil-producing as reference sequences Y0, parameters are as comparison sequence X i, i=1,2 ..., n.
YAN ' AN FORMATION day oil-producing sequence and other comparison sequence selection statistical forms it is as follows:
| Sequence | Affecting parameters | Depth 1 | Depth 2 | ... | Depth 70 |
| Reference sequences Y0 | Day oil-producing | 21.1700 | 10.7100 | ... | 4.3400 |
| Compare sequence X 1 | Total hydrocarbon Tg | 4.3339 | 0.0784 | ... | 0.2738 |
| Compare sequence X 2 | Peak base ratio | 6.6369 | 2.6133 | ... | 3.9739 |
| Compare sequence X 3 | Humidity ratio Wh | 0.5621 | 0.3832 | ... | 0.5705 |
| Compare sequence X 4 | Equilibrium ratio Bh | 1.2575 | 10.2000 | ... | 1.0297 |
| Compare sequence X 5 | Aspect ratio Ch | 1.1561 | 2.6842 | ... | 2.9101 |
| Compare sequence X 6 | Weight ratio Lh | 221.3109 | 53825451.75 | ... | 13724.6446 |
| Compare sequence X 7 | Compare Lm in light | 9.5906 | 1921.9589 | ... | 377.6930 |
| Compare sequence X 8 | Compare Hm in weight | 1.1901 | 0.0137 | ... | 0.2922 |
| Compare sequence X 9 | C2/C1 | 0.2721 | 0.2705 | ... | 0.1811 |
| Compare sequence X 10 | C3/C1 | 0.4692 | 0.0338 | ... | 0.2934 |
| Compare sequence X 11 | C4/C1 | 0.3750 | 0.0801 | ... | 0.4847 |
| Compare sequence X 12 | C3/C2 | 1.7246 | 1.1250 | ... | 1.6197 |
| Compare sequence X 13 | C4/C2 | 1.3783 | 0.2961 | ... | 2.6761 |
| Compare sequence X 14 | C4/C3 | 0.7992 | 2.3684 | ... | 1.6522 |
| Compare sequence X 15 | iC4/nC4 | 0.6063 | 1.2500 | ... | 0.2527 |
2. the nondimensionalization of variable
3. calculate correlation coefficient
4. calculating correlation
The comparison sequence and degree of association statistical form of YAN ' AN FORMATION are as follows:
| Compare sequence | The degree of association | Compare sequence | The degree of association | Compare sequence | The degree of association |
| C3/C2 | 0.7765 | C4/C2 | 0.6410 | C3/C1 | 0.6106 |
| Humidity ratio Wh | 0.7168 | Aspect ratio Ch | 0.6270 | C2/C1 | 0.6097 |
| Total hydrocarbon Tg | 0.6674 | C4/C3 | 0.6253 | Peak base ratio | 0.6012 |
| Compare Hm in weight | 0.6587 | Equilibrium ratio Bh | 0.6136 | Compare Lm in light | 0.5086 |
| C4/C1 | 0.6579 | iC4/nC4 | 0.6106 | Weight ratio Lh | 0.4336 |
Pass through relational degree taxis, humidity ratio, C3/C2 and day oil-producing degree of association maximum.
Total hydrocarbon base value: 0.17%, total hydrocarbon mean value: 0.78%, total hydrocarbon peak value: 1.09%；Wh average value is 0.45, C3/C2
=2.12, gas surveys component C3 > C2, belongs to typical low gas-oil ratio stratum, and gas survey component is complete, successively slowly decline.Total hydrocarbon by
It gradually reduces, grease point is different medium.
Compare criteria for interpretation:
Oil reservoir, oil-water common-layer reservoir: C3/C2 >=1.0；Wh≥0.35.
Water layer (including oil-containing water layer): C3/C2 < 1.0；Wh < 0.35.
This well section: Wh=0.45 > 0.35, C3/C2=2.12 > 1.
As shown in figure 3, C3/C2 establishes two-dimensional linear cross plot as horizontal axis using characteristic parameter Wh as the longitudinal axis, solution
Plate cultellation is released in oil reservoir, oil-water common-layer section.Demarcation interval is come with 0.35 with 1.0, ordinate with abscissa, when gas measured data
It is oil reservoir, oil-water common-layer area when point is located at abscissa value >=1.0 and the section of ordinate value >=0.35.When gas measured data point
In abscissa value < 1.0, ordinate value < 0.35 section when, be oil-containing water layer water layer.This well section, Wh=0.45 >
0.35, C3/C2=2.12 > 1；This layer explains that conclusion as oil-water common-layer, 11.48 tons of oil-producing of formation testing day produces 15.30 tons of water daily.
Claims (1)
1. a kind of low gas-oil ratio oil reservoir gas surveys evaluation method, include the following steps:
Step 1 obtains well data: collecting the gas measured data and formation testing data of live formation testing layer；
The control of step 2 parameter quality: establishing gas mass metering controlling curve template, and gas measured data is imported quality control curves mould
Plate, quality control curves template can calculate automatically mass control ratio range according to gas detection logging FLAIR formula, choose quality
Gas measured data of the control ratio between 0.8~2.0 is as the analysis data to conform to quality requirements；FLAIR formula is as follows:
RQ=Tg/Tg'(1)
Wherein
Tg=C1+C2+C3+C4+C5 (2)
Tg'=C1+2C2+3C3+4C4+5C5 (3)
RQRatio is controlled for quality, C1 is methane, and C2 is ethane, and C3 is propane, and C4 is butane, and C5 is pentane；
Step 3 parameter selection
Using grey-conjunction analysis method, the relationship of gas measured data and oil-gas-water layer is found；Reasonable ginseng is provided to establish means of interpretation
Number；
1) reference sequences and comparison sequence are determined；Reference sequences Y and comparison sequence XiRespectively
Y=Y (j) | j=1,2 ..., n } (4)
Xi=Xi (j) | j=1,2 ..., n }, i=1,2 ..., m (5)
Wherein, Y (j) indicates value corresponding to j-th of parameter of reference sequences, XiIndicate i-th of comparison sequence, Xi (j) indicates i pairs
Than value corresponding to j-th of parameter of sequence；
Reference sequences Y chooses the day oil-producing in formation testing data, takes comparison sequence XiFor after the control of the quality of step 2 is than screening
Gas measured data；
Reference sequences and comparison sequence value are shown in Table 1:
1. sequence selection statistical form of table
In table 1, each parameter is respectively as follows:
Day oil-producing: average daily oil production；
Total hydrocarbon Tg:Tg=C1+C2+C3+nC4+iC4+nC5+iC5；
Peak base ratio: gas detection logging measures the ratio between the maximum value and minimum value on a certain section of stratum；
Humidity ratio Wh:
Wh=(C2+C3+nC4+iC4+nC5+iC5)/(C1+C2+C3+nC4+iC4+nC5+iC5)；
Equilibrium ratio Bh:Bh=(C1+C2)/(C3+nC4+iC4+nC5+iC5)；
Aspect ratio Ch:Ch=(C4+C5)/C3；
Weight ratio Lh:Lh=100* (C1+C2)/(C4+C5)3；
Than Lm:Lm=10*C1/ (C2+C3) in light2；
Than Hm:Hm=(C4+C5) in weight2/C3；
Each parameter in table 1, nC4 and iC4 are two different configurations of C4, and nC4 indicates that positive structure butane, iC4 indicate isomery fourth
Alkane；NC5 and iC5 is two different configurations of C5, and nC5 indicates that positive structure pentane, iC5 indicate isomery pentane；
2) comparison sequence carries out nondimensionalization processing, and formula is as follows:
Wherein, XiIndicate i-th of comparison sequence, Xi(j) value corresponding to i comparison j-th of parameter of sequence, x are indicatedi(j) i is indicated
Compare the average value of sequence；
3) resolution ratio ρ is calculated
Enable η=Δ v/ Δmax, then the value of resolution ratio ρ are as follows:
Work as ΔmaxWhen 3 Δ v of >, the η of η≤ρ≤1.5；Work as ΔmaxWhen≤3 Δ ν, 1.5 η < ρ≤2 η；
4) reference sequences are sought and compare the grey incidence coefficient ξ i (j) of sequence:
Wherein, ξi(j) incidence coefficient corresponding to serial j-th of the parameter of i-th of comparison, x are indicatedi(j) indicate that i compares sequence jth
Value after nondimensionalization corresponding to a parameter, y (j) indicate the value after nondimensionalization corresponding to j-th of parameter of reference sequences, and ρ is
Resolution ratio；
5) degree of association r is soughti:
Wherein, riIndicate the degree of association between i-th of comparison series and reference sequences, ξi(j) i-th of comparison series is indicated j-th
Incidence coefficient corresponding to parameter；
Specific value and calculating are as follows, and reference sequences and comparison sequence value are shown in Table 2:
2. reference sequences of table and comparison sequence value table
In table 2, X1 ..., X15, the value 15, i=1 ... of m in representation formula (5), 15；Depth 1 ..., depth 70 indicate public
N value 70, j=1 ... in formula (5), 70；
Firstly, each comparison sequence in table 2 is updated in formula (6), comparison sequence carries out nondimensionalization processing；It again will be immeasurable
Guiding principleization treated comparison sequence and reference sequences substitute into formula (7) and (8) respectively, utilize the value Δ v and Δ acquiredmax, enable η
=Δ v/ Δmax, then the value of resolution ratio ρ are as follows: work as ΔmaxWhen 3 Δ v of >, the η of η≤ρ≤1.5；Work as ΔmaxWhen≤3 Δ v, 1.5 η
The η of < ρ≤2；Resolution ratio ρ is calculated and determined；By reference sequences, treated comparison sequence and resolution ratio ρ substitute into formula
(9), reference sequences are sought and compare the grey incidence coefficient ξ i (j) of sequence；Finally, by the grey incidence coefficient ξ i (j) of acquisition
It is updated to formula (10) again, acquires the degree of association of reference sequences and each comparison sequence；Obtained comparison sequence refers to sequence with each
The degree of association of column is shown in Table 3:
3. degree of association statistical form of table
Degree of association degree of being associated obtained in table 3 is analyzed, the numerical value of the degree of association is bigger, indicates comparison sequence and refers to sequence
The degree of association of column is higher；It can be obtained by the degree of association data of table 3, two parameters of C3/C2 and humidity ratio Wh are associated with day oil-producing
Spend highest；
Step 4 parameter study and oil reservoir gas are surveyed evaluation method and are established
1) the highest parameter C3/C2 of the degree of association, humidity ratio Wh are subjected to Block Characteristic analysis, demarcation interval value；
Selecting and counting to 200 mouthfuls of low gas-oil ratio well formation testing gas testing data, finds out low gas-oil ratio oil-water-layer Gas logging data C3/
The interval range of two C2, humidity ratio Wh parameters, are shown in Table 4；
4. oil-water-layer reservoir Gas logging data parameter section Data-Statistics table of table
It can be obtained by table 4, the relationship of gas measured data C3/C2 and humidity ratio Wh and steam oil ratio (SOR) reservoir:
It is oil reservoir, oil-water common-layer reservoir as C3/C2 >=1.0, Wh >=0.35；
It is the water layer for including oil-containing water layer as C3/C2 < 1.0, Wh < 0.35；
2) using characteristic parameter Wh as the longitudinal axis, C3/C2 establishes two-dimensional linear cross plot as horizontal axis, by gas measured data cultellation
On cross plot, and mark off different explanation conclusion sections: oil reservoir and oil-water common-layer section separate obviously with water layer；
Heavy hydrocarbon: heavy hydrocarbon=C2+C3+nC4+iC4+nC5+iC5；
Quality control curves value: RQ=(C1+C2+C3+C4+C5)/(C1+2C2+3C3+4C4+5C5)；
Demarcation interval is come with 0.35 with 1.0, ordinate with abscissa；
It is oil reservoir, oil-water common-layer area when gas measured data point is located at the section of abscissa value >=1.0 and ordinate value >=0.35；
It is the water layer of oil-containing water layer when gas measured data point is located at the section of abscissa value < 1.0, ordinate value < 0.35；
Cultellation is carried out with the ratio section of Wh and C3/C2, carries out comprehensive interpretation and evaluation in conjunction with the group division aspect of gas logging curve；
1. determining analysis ordered series of numbers
With regional day oil-producing as reference sequences Y0, parameters are as comparison sequence X i, i=1,2 ..., n；
Day oil-producing sequence and other comparison sequence selection statistical forms are as follows:
2. the nondimensionalization of variable
3. calculate correlation coefficient
4. calculating correlation
It compares sequence and degree of association statistical form is as follows:
Pass through relational degree taxis, humidity ratio, C3/C2 and day oil-producing degree of association maximum；
Total hydrocarbon base value: 0.17%, total hydrocarbon mean value: 0.78%, total hydrocarbon peak value: 1.09%；Wh average value is 0.45, C3/C2=
2.12, gas surveys component C3 > C2, belongs to typical low gas-oil ratio stratum, and gas survey component is complete, successively slowly decline；Total hydrocarbon is gradually
It reduces, grease point is different medium；
Compare criteria for interpretation:
Oil reservoir, oil-water common-layer reservoir: C3/C2 >=1.0；Wh≥0.35；
Water layer (including oil-containing water layer): C3/C2 < 1.0；Wh < 0.35；
This well section: Wh=0.45 > 0.35, C3/C2=2.12 > 1；
Using characteristic parameter Wh as the longitudinal axis, C3/C2 establishes two-dimensional linear cross plot, interpretation chart cultellation is in oil as horizontal axis
Layer, oil-water common-layer section；Demarcation interval is come with 0.35 with 1.0, ordinate with abscissa, when gas measured data point is located at abscissa value
>=1.0 and when the section of ordinate value >=0.35, it is oil reservoir, oil-water common-layer area；When gas measured data point is located at abscissa value <
It 1.0, is the water layer of oil-containing water layer when the section of ordinate value < 0.35；This well section, Wh=0.45 > 0.35, C3/C2=2.12
> 1；This layer explains that conclusion as oil-water common-layer, 11.48 tons of oil-producing of formation testing day produces 15.30 tons of water daily.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2185751C (en) * | 1996-08-20 | 2000-11-14 | Nigel A. Anstey | 3-d seismic survey using multiple sources simultaneously |
| CN101183154A (en) * | 2007-11-30 | 2008-05-21 | 辽河石油勘探局 | Geological logging explanation evaluating method |
| RU2337383C1 (en) * | 2007-04-02 | 2008-10-27 | ГОУ ВПО "Саратовский государственный университет им. Н.Г. Чернышевского" | Technology for oil and gas occurrence forecast |
| CN103615242A (en) * | 2013-12-17 | 2014-03-05 | 中国海洋石油总公司 | Real-time formation fluid logging multi-parameter hydrocarbon reservoir comprehensive interpretation and evaluation method |
| CN104295291A (en) * | 2014-07-31 | 2015-01-21 | 中国石油集团长城钻探工程有限公司 | Method for evaluating reservoir fluid property through gasometry component ratio |
| CN104329079A (en) * | 2014-09-09 | 2015-02-04 | 中国石油大学(北京) | Method and system for recognizing gas logging oil and gas reservoir |
| CN102900433B (en) * | 2012-10-31 | 2015-09-23 | 中国石油集团川庆钻探工程有限公司 | The method utilizing discriminant analysis to set up gas mapping version to judge reservoir fluid |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140083714A1 (en) * | 2012-09-26 | 2014-03-27 | Halliburton Energy Services, Inc. | Single Trip Multi-Zone Completion Systems and Methods |
-
2016
- 2016-08-05 CN CN201610637934.5A patent/CN106437691B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2185751C (en) * | 1996-08-20 | 2000-11-14 | Nigel A. Anstey | 3-d seismic survey using multiple sources simultaneously |
| RU2337383C1 (en) * | 2007-04-02 | 2008-10-27 | ГОУ ВПО "Саратовский государственный университет им. Н.Г. Чернышевского" | Technology for oil and gas occurrence forecast |
| CN101183154A (en) * | 2007-11-30 | 2008-05-21 | 辽河石油勘探局 | Geological logging explanation evaluating method |
| CN102900433B (en) * | 2012-10-31 | 2015-09-23 | 中国石油集团川庆钻探工程有限公司 | The method utilizing discriminant analysis to set up gas mapping version to judge reservoir fluid |
| CN103615242A (en) * | 2013-12-17 | 2014-03-05 | 中国海洋石油总公司 | Real-time formation fluid logging multi-parameter hydrocarbon reservoir comprehensive interpretation and evaluation method |
| CN104295291A (en) * | 2014-07-31 | 2015-01-21 | 中国石油集团长城钻探工程有限公司 | Method for evaluating reservoir fluid property through gasometry component ratio |
| CN104329079A (en) * | 2014-09-09 | 2015-02-04 | 中国石油大学(北京) | Method and system for recognizing gas logging oil and gas reservoir |
Non-Patent Citations (2)
| Title |
|---|
| 基于气测资料的储层含油气性灰色关联识别;连承波等;《西南石油大学学报》;20071231;第29卷(第6期);第68-71页 * |
| 第二届中国石油工业录井技术交流会论文集;第二届中国石油工业录井技术交流会论文集》编委会;《第二届中国石油工业录井技术交流会论文集》;东营：中国石油大学出版社;20131031;第145-147页 * |
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