CN104314558A - Method for judging reservoir effectiveness by Stoneley wave energy loss degree - Google Patents
Method for judging reservoir effectiveness by Stoneley wave energy loss degree Download PDFInfo
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- CN104314558A CN104314558A CN201410413530.9A CN201410413530A CN104314558A CN 104314558 A CN104314558 A CN 104314558A CN 201410413530 A CN201410413530 A CN 201410413530A CN 104314558 A CN104314558 A CN 104314558A
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- stoneley wave
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 239000011435 rock Substances 0.000 claims abstract description 31
- 239000011148 porous material Substances 0.000 claims abstract description 26
- 230000004044 response Effects 0.000 claims abstract description 8
- 230000015572 biosynthetic process Effects 0.000 claims description 35
- 238000004364 calculation method Methods 0.000 claims description 5
- 239000000284 extract Substances 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 claims description 3
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 3
- 239000011707 mineral Substances 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 238000012360 testing method Methods 0.000 description 4
- 230000035699 permeability Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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Abstract
The invention discloses a method for judging reservoir effectiveness by Stoneley wave energy loss, which comprises the following steps: and taking the Stoneley wave energy extracted from the array acoustic logging data as the comprehensive response of the Stoneley wave energy of the stratum rock and the Stoneley wave energy loss degree in the pores, establishing a relational expression of the Stoneley wave energy and the porosity, calculating the Stoneley wave energy loss degree in the pores, and judging the effectiveness of the reservoir according to the Stoneley wave energy loss degree. The invention not only considers the Stoneley wave energy of stratum rock, but also establishes a relational expression of the Stoneley wave energy and the porosity, and the loss degree of the Stoneley wave energy in the stratum pores can be calculated according to the relational expression so as to judge the effectiveness of the reservoir.
Description
Technical field
The present invention relates to a kind of effective reservoir and sentence method for distinguishing, particularly relate to a kind of method of Stoneley wave energy loss degree discrimination of reservoir validity, belong to the applied technical field of Array Sonic Logging Waveforms.
Background technology
Array acoustic is unique advantage in reservoir permeability is evaluated, and reason is that the permeability on Stoneley wave energy and the stratum of extracting from Array Sonic Logging Waveforms is in close relations, be thus commonly used to the validity of discrimination of reservoir.At present, generally having two kinds: one to be see that Reservoir Section Stoneley wave energy has undamped by the method for Stoneley wave heat-supplied effective reservoir, as long as there is decay then to think the good penetrability of reservoir, is Effective Reservoirs.Such as, Stoneley wave is utilized to calculate method and the application of in-place permeability disclosed in 06 phase in 2005 " logging technique ".The method fails to consider the degree of formation porosity and Stoneley wave energy attenuation, thus differentiates that effect is not satisfactory.
Two is do normalized to Stoneley wave energy curve, then makes the cross plot of normalization Stoneley wave energy and degree of porosity, according to the distribution characteristics of idea on formation testing result and cross plot, determines the standard of discrimination of reservoir validity.The method considers the degree of Stoneley wave energy attenuation and the information of reservoir porosity, but fails to set up relational expression with degree of porosity, and needs the data of many mouthfuls of wells to set up discrimination standard, and process is comparatively loaded down with trivial details, and Effective Reservoirs discrimination precision also has much room for improvement.Thus, new method is also needed by the validity of Stoneley wave energy analysis reservoir.
Summary of the invention
The object of the invention is to the problems referred to above overcoming prior art existence, a kind of method of Stoneley wave energy loss degree discrimination of reservoir validity is provided.The present invention not only considers the Stoneley wave energy of formation rock, and establish the relational expression of Stoneley wave energy and degree of porosity, just can calculate the degree of loss of Stoneley wave energy in formation pore according to this relational expression, and then the validity of reservoir is judged.
For achieving the above object, the technical solution used in the present invention is as follows:
A kind of method of Stoneley wave energy loss degree discrimination of reservoir validity, it is characterized in that: the Stoneley wave energy extracted from Array Sonic Logging Waveforms is considered as the comprehensive response of Stoneley wave energy loss degree in formation rock Stoneley wave energy and hole, set up the relational expression of Stoneley wave energy and degree of porosity, calculate Stoneley wave energy loss degree in hole, according to Stoneley wave energy loss degree discrimination of reservoir validity.
Described method specifically comprises the steps:
A, determine reservoir porosity;
B, extraction Stoneley wave average energy;
C, set up Stoneley wave energy and degree of porosity relational expression, calculate Stoneley wave energy loss degree in hole;
D, according to Stoneley wave energy loss degree discrimination of reservoir validity.
In described step a, selecting hole porosity, rock forming mineral calculation model, according to sound wave, neutron, density log data, obtain formation rock mineralogical composition volume content and degree of porosity with volume-based model, obtain the lithological profile on stratum thus.
In described step b, pair array Sonic Logging Data processes, and extracts many Stoneley wave energy curves, is averaging, obtains the average of Stoneley wave energy to the Stoneley wave energy curve value extracted.
In described step c, the Stoneley wave average energy of extraction is considered as formation rock Stoneley wave energy and hole to the comprehensive response of Stoneley wave energy loss degree, and the Stoneley wave energy of foundation and the relational expression of degree of porosity are:
（1）
In formula:
sT average for Stoneley wave average energy; Φ is the degree of porosity that well logging calculates, decimal; 1-Φ: be the volume content (rock here contains the shale in stratum) of formation rock;
sT skeleton for the Stoneley wave energy value of formation rock, obtain from formation lithology section and Stoneley wave energy comparison diagram;
sT ss for the degree of loss of Stoneley wave energy in formation pore;
Drawn by (1) formula:
（2）。
In described steps d, when Stoneley wave energy loss angle value numerical value is larger, instruction Stoneley wave energy loss is more, and the connectedness between reflection reservoir pore space is better, and the validity of discrimination of reservoir is better.
In described steps d, if
sT ss between 0 ~-5, in instruction hole, Stoneley wave energy loss degree is little, the poor connectivity between reflection reservoir pore space, and the validity of discrimination of reservoir is poor, is interpreted as difference reservoir or dried layer.
In described steps d, if
sT ss between-5 ~-15, instruction hole in Stoneley wave energy loss degree medium, reflection reservoir pore space between have certain connectedness, the validity of discrimination of reservoir is medium, is interpreted as III class reservoir.
In described steps d, if
sT ss between-15 ~-25, in instruction hole, Stoneley wave energy loss degree is comparatively large, and the connectedness between reflection reservoir pore space is better, and the validity of discrimination of reservoir is better, is interpreted as II class reservoir.
In described steps d, if
sT ss be less than-25, in instruction hole, Stoneley wave energy loss degree is large, and the connectedness between reflection reservoir pore space is good, and the validity of discrimination of reservoir is good, is interpreted as I class reservoir.
Employing the invention has the advantages that:
One, invention not only simplifies the step with Stoneley wave energy analysis effective reservoir, also without the need to setting up the standard of discrimination of reservoir validity by the data of many mouthfuls of wells, and define a kind of method of quantitative calculating Stoneley wave energy loss degree.
Two, the present invention not only considers the Stoneley wave energy of formation rock, and establish the relational expression of Stoneley wave energy and degree of porosity, just can calculate the degree of loss of Stoneley wave energy in formation pore according to this relational expression, and then the validity of reservoir is judged.
Three, the relational expression of Stoneley wave energy and formation porosity is established, not only consider the Stoneley wave energy of formation rock, formation porosity size, and having calculated the degree of loss of Stoneley wave energy in hole, result of calculation better can react the validity of reservoir.
Four, adopt the present invention, do not need the array acoustic data of many mouthfuls of wells to set up effective reservoir discrimination standard, avoid individual well all will do normalized to the Stoneley wave energy extracted tedious steps to many wells.
Five, the inventive method is succinct, easy to operate, is suitable for and surveys the distinguishing validity having the various lithologic reservoir such as carbonate rock, clastic, shale gas of array acoustic data, can directly use in new well, applied range.
Accompanying drawing explanation
Fig. 1 is that block A effective reservoir differentiates result map
Fig. 2 is that block B effective reservoir differentiates result map.
Detailed description of the invention
Embodiment 1
A kind of method of Stoneley wave energy loss degree discrimination of reservoir validity, comprise: formation rock and reservoir pore space have different Stoneley wave energy response features, the Stoneley wave energy extracted from Array Sonic Logging Waveforms is the comprehensive response of Stoneley wave energy loss degree in formation rock Stoneley wave energy and hole, sets up the relational expression of Stoneley wave energy and degree of porosity thus.The Stoneley wave energy of degree of porosity, Stoneley wave average energy and formation rock that input well logging calculates, just can calculate the degree of loss of Stoneley wave energy in hole.Stoneley wave energy loss number of degrees value is larger, and instruction Stoneley wave energy loss is more, and the connectedness between reflection reservoir pore space is better, and effective reservoir is better.The present invention not only considers Stoneley wave energy, the formation porosity of formation rock, and has calculated the degree of loss of Stoneley wave energy in hole, and result of calculation better can reflect the validity of reservoir.
Described method specifically comprises the steps:
A, determine reservoir porosity
Select rational degree of porosity, rock forming mineral calculation model, according to well-log informations such as sound wave, neutron, density, just can obtain formation rock mineralogical composition volume content and degree of porosity with volume-based model, obtain the lithological profile on stratum thus.This adopts prior art.
B, extraction Stoneley wave average energy
Pair array Sonic Logging Data processes, and extracts many (being generally 8) Stoneley wave energy curves, is averaging, just can obtains the average of Stoneley wave energy to these Stoneley wave energy curve values.
C, set up Stoneley wave energy and degree of porosity relational expression
The Stoneley wave average energy extracted is considered as formation rock Stoneley wave energy and hole to the comprehensive response of Stoneley wave energy loss degree, and the Stoneley wave energy of foundation and the relational expression of degree of porosity are:
（1）
In formula:
sT average for Stoneley wave average energy; Φ is the degree of porosity that well logging calculates, decimal; 1-Φ: be the volume content (rock here contains the shale in stratum) of formation rock;
sT skeleton for the Stoneley wave energy value of formation rock, obtain from formation lithology section and Stoneley wave energy comparison diagram;
sT ss for the degree of loss of Stoneley wave energy in formation pore.
Drawn by (1) formula:
(2)
D, according to Stoneley wave energy loss degree discrimination of reservoir validity
The Stoneley wave energy loss degree calculated by (2) formula is negative.Obviously, Stoneley wave energy loss number of degrees value larger (partially negative more), instruction Stoneley wave energy loss is more, and the connectedness between reflection reservoir pore space is better, and the validity of discrimination of reservoir is better.
If
sT ss between 0 ~-5, in instruction hole, Stoneley wave energy loss degree is little, and the poor connectivity between reflection reservoir pore space, the validity of discrimination of reservoir is poor, may be interpreted as poor reservoir or dried layer.
If
sT ss between-5 ~-15, instruction hole in Stoneley wave energy loss degree medium, reflection reservoir pore space between have certain connectedness, the validity of discrimination of reservoir is medium, may be interpreted as III class reservoir.
If
sT ss between-15 ~-25, in instruction hole, Stoneley wave energy loss degree is comparatively large, and the connectedness between reflection reservoir pore space is better, and the validity of discrimination of reservoir is better, may be interpreted as II class reservoir.
If
sT ss be less than-25, in instruction hole, Stoneley wave energy loss degree is large, and the connectedness between reflection reservoir pore space is good, and the validity of discrimination of reservoir is good, may be interpreted as I class reservoir.
I class reservoir, II class reservoir and III class reservoir are prior art, are not further explained this.
Embodiment 2
Adopt the present invention to carry out effective reservoir differentiation to certain block complex lithology Clastic Stratum of Country Rocks, effective reservoir differentiates that coincidence rate is more than 90%.
Accompanying drawing 1,2 is that this block A, B two mouthfuls of well effective reservoirs differentiate result map.In figure, 1,2,3,4 roads are the degree of depth and Logging Curves; 5th, 6 roads are the lithological profile that obtains of Well Data Processing and degree of porosity; 7th, 8 roads are for explaining conclusion and oil testing result; 9th, 10,11 roads are the compressional wave energy, shear wave energy and the Stoneley wave energy curve that extract from array acoustic data; 12nd road is that the Stoneley wave energy loss calculated according to the present invention is write music line.
From accompanying drawing 1,1# reservoir porosity is between 5% ~ 10%, and hole is comparatively grown.Stoneley wave energy loss degree is between-18 ~-45, and Stoneley wave energy loss is large, and the connectedness between reflection reservoir pore space is good, and may grow crack, discrimination of reservoir validity is good, and integrated interpretation is gas-bearing formation, this layer test aerogenesis.
From accompanying drawing 2,1#, 2# reservoir porosity is between 5% ~ 10%, and hole is comparatively grown.Stoneley wave energy loss degree is between 0 ~-5, and Stoneley wave energy loss is little, and poor connectivity between instruction hole, crack agensis, discrimination of reservoir validity is poor, and integrated interpretation is dried layer, and test result is also dried layer.
Claims (10)
1. the method by Stoneley wave energy loss degree discrimination of reservoir validity, it is characterized in that: the Stoneley wave energy extracted from Array Sonic Logging Waveforms is considered as the comprehensive response of Stoneley wave energy loss degree in formation rock Stoneley wave energy and hole, set up the relational expression of Stoneley wave energy and degree of porosity, calculate Stoneley wave energy loss degree in hole, according to Stoneley wave energy loss degree discrimination of reservoir validity.
2. the method for Stoneley wave energy loss degree discrimination of reservoir validity according to claim 1, is characterized in that: described method specifically comprises the steps:
A, determine reservoir porosity;
B, extraction Stoneley wave average energy;
C, set up Stoneley wave energy and degree of porosity relational expression, calculate Stoneley wave energy loss degree in hole;
D, according to Stoneley wave energy loss degree discrimination of reservoir validity.
3. the method for Stoneley wave energy loss degree discrimination of reservoir validity according to claim 2, it is characterized in that: in described step a, selecting hole porosity, rock forming mineral calculation model, according to sound wave, neutron, density log data, obtain formation rock mineralogical composition volume content and degree of porosity with volume-based model, obtain the lithological profile on stratum thus.
4. the method by Stoneley wave energy loss degree discrimination of reservoir validity according to Claims 2 or 3, it is characterized in that: in described step b, pair array Sonic Logging Data processes, extract many Stoneley wave energy curves, the Stoneley wave energy curve value extracted is averaging, obtains the average of Stoneley wave energy.
5. the method for Stoneley wave energy loss degree discrimination of reservoir validity according to claim 4, it is characterized in that: in described step c, the Stoneley wave average energy extracted is considered as formation rock Stoneley wave energy and hole to the comprehensive response of Stoneley wave energy loss degree, and the Stoneley wave energy of foundation and the relational expression of degree of porosity are:
（1）
In formula:
sT average for Stoneley wave average energy; Φ is the degree of porosity that well logging calculates, decimal; 1-Φ: be the volume content (rock here contains the shale in stratum) of formation rock;
sT skeleton for the Stoneley wave energy value of formation rock, obtain from formation lithology section and Stoneley wave energy comparison diagram;
sT ss for the degree of loss of Stoneley wave energy in formation pore;
Drawn by (1) formula:
(2).
6. the method by Stoneley wave energy loss degree discrimination of reservoir validity according to claim 2,3 or 5, it is characterized in that: in described steps d, when Stoneley wave energy loss angle value numerical value is larger, instruction Stoneley wave energy loss is more, connectedness between reflection reservoir pore space is better, and the validity of discrimination of reservoir is better.
7. the method for Stoneley wave energy loss degree discrimination of reservoir validity according to claim 6, is characterized in that: in described steps d, if
sT ss between 0 ~-5, in instruction hole, Stoneley wave energy loss degree is little, the poor connectivity between reflection reservoir pore space, and the validity of discrimination of reservoir is poor, is interpreted as difference reservoir or dried layer.
8. the method for Stoneley wave energy loss degree discrimination of reservoir validity according to claim 7, is characterized in that: in described steps d, if
sT ss between-5 ~-15, instruction hole in Stoneley wave energy loss degree medium, reflection reservoir pore space between have certain connectedness, the validity of discrimination of reservoir is medium, is interpreted as III class reservoir.
9. the method for Stoneley wave energy loss degree discrimination of reservoir validity according to claim 8, is characterized in that: in described steps d, if
sT ss between-15 ~-25, in instruction hole, Stoneley wave energy loss degree is comparatively large, and the connectedness between reflection reservoir pore space is better, and the validity of discrimination of reservoir is better, is interpreted as II class reservoir.
10. the method for Stoneley wave energy loss degree discrimination of reservoir validity according to claim 9, is characterized in that: in described steps d, if
sT ss be less than-25, in instruction hole, Stoneley wave energy loss degree is large, and the connectedness between reflection reservoir pore space is good, and the validity of discrimination of reservoir is good, is interpreted as I class reservoir.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108490490A (en) * | 2018-02-08 | 2018-09-04 | 中国石油天然气股份有限公司 | Crack band characterization method and device, electronic equipment and computer storage medium |
| CN109374757A (en) * | 2018-10-30 | 2019-02-22 | 中国海洋石油集团有限公司 | The method for handling evaluation igneous reservoirs validity using wave amplitude quantification |
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| CN109374757A (en) * | 2018-10-30 | 2019-02-22 | 中国海洋石油集团有限公司 | The method for handling evaluation igneous reservoirs validity using wave amplitude quantification |
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