CN106337683A - Method of determining coal-bed methane content in target coal bed - Google Patents

Method of determining coal-bed methane content in target coal bed Download PDF

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CN106337683A
CN106337683A CN201510393734.5A CN201510393734A CN106337683A CN 106337683 A CN106337683 A CN 106337683A CN 201510393734 A CN201510393734 A CN 201510393734A CN 106337683 A CN106337683 A CN 106337683A
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coal
gassiness
component
resistivity
target
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CN106337683B (en
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张松扬
王晓畅
郝士博
陈利雯
张爱芹
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China Petroleum and Chemical Corp
Sinopec Exploration and Production Research Institute
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China Petroleum and Chemical Corp
Sinopec Exploration and Production Research Institute
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Abstract

The invention provides a method of determining coal-bed methane content in a target coal bed based on deep detection resistivity logging. In the method, the coal-bed methane is maintained by a cover layer covering the target coal bed. The method comprises following steps: 1. the point gas contents Sdg at corresponding positions and the electrical resistivity RCOAL of the coal bed are detected at multiple locations in the target coal seam, R is the electrical resistivity of the cover layer, and the ratio of the electrical resistivity RCOAL to the electrical resistivity R is the characteristic parameter P of the target coal bed; 2. according to the relationship between the characteristic parameter P and the point gas content Sdg, the calculation formula of the coal-bed methane content Sg of the target coal bed is established; 3. the coal-bed methane content of different positions in the target coal bed is determined by the calculation formula of the coal-bed methane content Sg in the second step. According to the method of the present invention, the calculation formula of the coal-bed methane content Sg can be obtained, whereby the coal-bed methane content at different positions of the target coal bed can be obtained only by the resistivity of the coal bed in the target coal seam and the resistivity of the cover layer; construction cost is reduced and construction efficiency is increased.

Description

The method determining the coal bed gas content of target coal seam
Technical field
The present invention relates to unconventionaloil pool well exploration and development technical field, more particularly, to determine the coal seam of target coal seam The method of Gas content.
Background technology
In prior art, determine that coalbed methane reservoir air content most straightforward approach is: drill through coal seam rock core, then Measure the parameters such as reflectance, carbon, hydrogen content and the caloric value of rock core vitrain.Afterwards, according to the coal rank criteria for classifying Determine coal rank, and try to achieve reservoir using multiple methods such as analytic method, Ai Ruifa, isothermal adsorption collimation method and Kai Mufa Air content.Coalbed methane reservoir air content should be tried to achieve in aforementioned manners, be accurately to be determined at the exploration and development initial stage Coal seam is essential.
However, the construction cost of said method is higher, the time of needs is longer and causes inefficiency.And work as When coal bed drilling is expanding serious, deep investigation Resistivity log is more accurate relative to other Logging Curves, Accordingly, it would be desirable to set up a kind of method of the coal bed gas content determining target coal seam of logging well based on deep investigation.
Content of the invention
The invention provides a kind of method of the coal bed gas content determining target coal seam.Obtained by the method for the present invention Arrive the calculating formula of coal bed gas content sg of target coal seam.By this calculating formula, can obtain only by means of well logging Resistivity r of the target coal seam obtainingcoalWith resistivity r of cap rock it is possible to obtain the different positions of target coal seam The coal bed gas content put, greatly reduces construction cost and efficiency of construction is also higher.
The method of the coal bed gas content in coal seam that really set the goal according to the present invention, coal bed gas is by covering in the method The cap rock of target coal seam keeps.The method comprises the following steps: step one, surveys in multiple positions of target coal seam Obtain point air content sdg of corresponding position and resistivity r in coal seamcoal, resistivity r of cap rock, resistivity rcoalBe the characteristic parameter p of target coal seam with the ratio of resistivity r, step 2, according to characteristic parameter p with The calculating formula of coal bed gas content sg of relation structure target coal seam between point air content sdg, step 3, by The calculating formula of coal bed gas content sg in step 2 is determining the content of the coal bed gas of the diverse location of target coal seam.
It has been found that for coal seam, resistivity r in its air content and coal seamcoalIt is proportionate.? That is the resistivity in coal seam is bigger, then the air content in coal seam is bigger.Applicant further found that, the resistance of cap rock Rate also has important relation with the air content in coal seam, and for example, the resistivity of cap rock is bigger, the air content in coal seam Less.Thus, applicant is creatively by resistivity r in coal seamcoalMake with the ratio of cap rock resistivity r For the characteristic parameter p of target coal seam, and using this feature parameter p as the calculating formula building coal bed gas content sg One factor.This makes it possible to improve the precision of the result being obtained by the calculating formula of coal bed gas content sg.Additionally, The method according to the invention, determine target coal seam other positions coal bed gas content when it is only necessary to by means of The calculating formula of coal bed gas content sg can be obtained by, and is no longer necessary to this position is drilled through coal seam core.This Sample just significantly reduces construction cost and efficiency of construction is also higher.
In one embodiment, cap rock includes grey rock stratum and shale layer, resistivity r of grey rock stratumfk, shale layer Resistivity rsh, characteristic parameter p includes fisrt feature parameter p1 and second feature parameter p2, wherein, P1=rcoal/rfk, p2=rcoal/rsh.First gassiness is obtained with point air content sdg by fisrt feature parameter p1 The calculating formula of component sgp1, obtains the first gassiness component sgp2 by second feature parameter p2 with point air content sdg Calculating formula.Coal bed gas content sg is the first gassiness component sgp1 and the function of the second gassiness component sgp2. It has been found that the cap rock in coal seam generally includes grey rock stratum and shale layer, the diffusion to coal bed gas for both rocks Play barrier effect and so that coal bed gas is in the target coal seam under cap rock.However, the resistance of both rock stratum Gear property simultaneously differs, and therefore the diffusion of coal bed gas is also differed.Therefore, applicant considers respectively The impact to coal bed gas content for both rock stratum, and thus using the fisrt feature parameter becoming corresponding to grey rock stratum P1 and second feature parameter p2 corresponding to shale layer to replace above-mentioned characteristic parameter p.Also by means of first Characteristic parameter p1, second feature parameter p2 have obtained the calculating formula of the first gassiness component sgp1 and second and have contained edema caused by disorder of QI The calculating formula of amount sgp2, and coal bed gas content sg is optimized for further the first gassiness component sgp1 and the The function of two gassiness component sgp2.By these optimizations, further increase the calculating formula of coal bed gas content sg Computational accuracy.
In one embodiment, resistivity rfk, resistivity rshAnd resistivity rcoalWith air content sdg All obtained by well-log information.Logging technique is technology well known to the skilled artisan in the art.Thus, construct Personnel easily can use the method for the present invention by means of existing well-log information, This further reduces construction Cost.
In one embodiment, the first gassiness component sgp1 and fisrt feature parameter p1 are that linear increment is closed System, the second gassiness component sgp2 and second feature parameter p2 are linear increment relations.
In one embodiment, the calculating of the calculating formula of the first gassiness component sgp1 and the second gassiness component sgp2 Formula is obtained by least square fitting.In a specific embodiment, the first gassiness component sgp1 by Following formula represents:
Sgp1=a1 × p1+b1,
Second gassiness component sgp2 is expressed from the next:
Sgp2=a2 × p2+b2,
Wherein, for specific target coal seam, parameter a1, b1, a2 and b2 are fixed value, and parameter a1 It is more than zero with a2.
In one embodiment, coal bed gas content sg of target coal seam is the first gassiness component sgp1 and second contains The weighted sum of edema caused by disorder of QI amount sgp2.In a specific embodiment, coal bed gas content sg of target coal seam by under Formula represents:
Sg=c1 × sgp1+c2 × sgp2,
Wherein, c1 and c2 is respectively the weight coefficient of the first gassiness component sgp1 and the second gassiness component sgp2, and C1+c2=1.Due to barrier properties of shale layer and grey rock stratum differing in cap rock, therefore shale layer and grey rock stratum The diffusivity of coal bed gas is also differed, therefore the first gassiness component sgp1 containing fisrt feature parameter p1 Target coal seam can more accurately be represented with the weighted sum of the second gassiness component sgp2 of implication second feature parameter p2 Diverse location coal bed gas content sg.
In one embodiment, the numerical value of c1 and c2 is 1/2.
Compared with prior art, it is an advantage of the current invention that: (1) applicant is creatively by the resistance in coal seam Rate rcoalWith the ratio of cap rock resistivity r as target coal seam characteristic parameter p, and by this feature parameter p A factor as the calculating formula of component coal bed gas content sg.This makes it possible to improve by coal bed gas content sg The precision of result that obtains of calculating formula.(2) the method according to the invention, determine target coal seam other It is only necessary to the calculating formula by means of coal bed gas content sg can be obtained by during the coal bed gas content of position, and not Again this position is needed to drill through coal seam core.Thus significantly reduce construction cost and efficiency of construction Higher.(3) this method is not limited to by area, is easy to apply.
Brief description
Hereinafter will be based on embodiment and refer to the attached drawing is being described in more detail to the present invention.Wherein:
Fig. 1 is the step schematic diagram implementing the method according to the invention;
Fig. 2 is the fitted figure picture of the first gassiness component sgp1 of the embodiment of the present invention;
Fig. 3 is the fitted figure picture of the second gassiness component sgp2 of the embodiment of the present invention.
Specific embodiment
Below in conjunction with accompanying drawing, the present invention will be further described.
Fig. 1 show schematically show implement according to the present invention really set the goal coal seam coal bed gas content method Step.
Step 1: record air content sdg of corresponding position and the resistance in coal seam in multiple positions of target coal seam Rate rcoal, resistivity r of cap rock, and resistivity rcoalRatio with resistivity r is target coal seam Characteristic parameter p.
Step 2: build the coal bed gas of target coal seam according to the relation between characteristic parameter p and point air content sdg The calculating formula of content sg.
Step 3: to be determined the containing of coal bed gas of the diverse location of target coal seam by the calculating formula of coal bed gas content sg Amount.
Those skilled in the art knows: coal bed gas is in target coal seam, and therefore coal bed gas is by coverage goal coal The cap rock of layer keeps.Cap rock can be for being in the lithosphere above target coal seam, and block is good, can hinder coal The diffusion of layer gas, or the speed to external diffusion for the coal bed gas can be controlled.
It has been found that cap rock barrier properties are characterized with its resistivity, and for coal seam, the electricity in coal seam Resistance rate is higher, then its air content is also bigger.That is, the resistivity in the resistivity of cap rock and coal seam from Different angles has reacted the preservation state of the coal bed gas of target coal seam.Thus, applicant is creatively by coal seam Resistivity rcoalWith the ratio of cap rock resistivity r as the characteristic parameter p of target coal seam, and thus obtain The calculating formula of coal bed gas content sg.The calculating formula of so coal bed gas content sg just contains multiple Considerations, So as to more comprehensively and accurately determine the air content of target coal seam.
However, cap rock generally comprises two kinds of rock stratum, i.e. grey rock stratum and shale layer.The block of both rock stratum is simultaneously Differ, therefore stop that the diffusion of coal bed gas also differs.Thus, applicant proposed corresponding to limestone Fisrt feature parameter p1 of layer and second feature parameter p2 corresponding to shale layer, and replaced using p1 and p2 Characteristic parameter p.Also obtain first and contained edema caused by disorder of QI by means of fisrt feature parameter p1, second feature parameter p2 The amount calculating formula of sgp1 and the calculating formula of the second gassiness component sgp2, and coal bed gas content sg is further It is optimized for the first gassiness component sgp1 and the function of the second gassiness component sgp2.Optimized by these, further Improve the computational accuracy of the calculating formula of coal bed gas content sg.
The calculating formula of the calculating formula of the first gassiness component sgp1 and the second gassiness component sgp2 can be by obtaining Multiple fisrt feature parameters p1, second feature parameter p2 and point air content sdg carry out least square fitting And obtain.It should be understood that point air content sdg required for matching can also be by drilling through coal seam core, so Obtain in this core of lab analysis afterwards.
In one embodiment, the first gassiness component sgp1 can be represented by formula 1,
Sgp1=a1 × p1+b1 formula 1
Second gassiness component sgp2 can be represented by formula 2,
Sgp2=a2 × p2+b2 formula 2,
Wherein, for specific target coal seam, parameter a1, b1 in formula 1, formula 2, a2 and b2 are to fix Value, and parameter a1 and a2 are more than zero.
Coal bed gas content sg of target coal seam is that the first gassiness component sgp1 and the second gassiness component sgp2 adds Quan He.For example, coal bed gas content sg of target coal seam is represented by formula 3:
Sg=c1 × sgp1+c2 × sgp2 formula 3,
Wherein, c1 and c2 is respectively the weight coefficient of the first gassiness component sgp1 and the second gassiness component sgp2, and C1+c2=1.In one embodiment, the numerical value of c1 and c2 is 1/2.
Embodiment 1:
Learn, the cap rock of No. 15 coal seams (target coal seam) includes grey rock stratum and shale layer through well logging.In multiple positions Put and well-sampling is carried out to No. 15 coal seams, then measure the resistance of the grey rock stratum of these samples in laboratory respectively Rate rfk, resistivity r of shale layershResistivity r with coal seamcoalAnd point air content sdg.As table 1 Shown.Also show fisrt feature parameter p1 and second feature parameter p2 in Table 1.
Table 1
Sample rcoal rfk rsh p1 p2 sdg
y1 848.3 3594.4 48.0 0.2360 17.6729 12.65
y2 600.0 3857.2 55.0 0.1556 10.9091 11.00
y3 574.8 3097.6 70.0 0.1856 8.2114 10.92
y4 1060.5 3493.3 90.0 0.3036 11.7833 12.51
y5 1200.0 3200.0 78.0 0.3750 15.451 14.49
y6 385.3 5396.0 70.0 0.0714 5.5043 9.49
y7 661.0 3309.6 90.0 0.1997 7.3444 10.94
y8 600.0 2777.3 45.0 0.2160 13.3333 11.89
y9 893.6 4535.9 80.0 0.1970 11.1700 11.42
y10 1326.4 4366.3 80.0 0.3038 16.5800 13.14
y11 2039.3 6740.3 85.0 0.3026 23.9918 14.11
y12 2285.1 7005.0 75.0 0.3262 30.4680 15.19
y13 738.7 5890.6 87.0 0.1254 8.6744 9.72
y14 1958.4 5893.4 79.0 0.3323 24.7895 17.10
y15 707.5 3013.3 89.0` 0.2348 7.9497 9.89
Using p1 in table 1 as abscissa, sdg is fitted obtaining the first gassiness component sgp1 as vertical coordinate Calculating formula, as formula 4.Fig. 2 shows the image of the first gassiness component sgp1.
Sgp1=18.774 × p1+7.4478 formula 4
Using p2 in table 1 as abscissa, sdg is fitted obtaining the second gassiness component sgp2 as vertical coordinate Calculating formula, as formula 5.Fig. 3 shows the image of the second gassiness component sgp2.
Sgp2=0.2645 × p2+8.7386 formula 5
As c1=c2=1/2, air content sg in No. 15 coal seams of t1 well can be represented by formula 6.
s g = s g p 1 2 + s g p 2 2 Formula 6.
Using formula 6, other positions air content sg in No. 15 coal seams is determined, and with lab analysis sample The result of product gained is as comparison.Result is as shown in table 2.
Table 2
Available from table 3, using the method for invention, obtain in the multiple different position in No. 15 coal seams The content of the coal bed gas that content sg of coal bed gas is recorded with laboratory differs very little, and this explanation is according to the present invention's The calculating formula of content sg of the coal bed gas that method obtains can accurately determine the content of the coal bed gas of target coal seam.
Although by reference to preferred embodiment, invention has been described, without departing from the scope of the present invention In the case of, it can be carried out with various improvement and part therein can be replaced with equivalent.Especially, only Otherwise there is structural hazard, the every technical characteristic being previously mentioned in each embodiment all can combine in any way Come.The invention is not limited in specific embodiment disclosed herein, but include falling within the scope of the appended claims All technical schemes.

Claims (9)

1. a kind of method of the coal bed gas content determining target coal seam, described coal bed gas is by covering described target coal seam Cap rock keep, the method comprising the steps of:
Step one, records point air content sdg and the coal seam of corresponding position in multiple positions of described target coal seam Resistivity rcoal, resistivity r of described cap rock, described resistivity rcoalRatio with resistivity r is The characteristic parameter p of described target coal seam,
Step 2, builds described target according to the relation between described characteristic parameter p and described air content sdg The calculating formula of coal bed gas content sg in coal seam,
Step 3, to determine described target coal seam by the calculating formula of coal bed gas content sg in described step 2 The content of the coal bed gas of diverse location.
2. method according to claim 1 is it is characterised in that described cap rock includes grey rock stratum and shale layer, Resistivity r of described ash rock stratumfk, resistivity r of described shale layersh, described characteristic parameter p includes first Characteristic parameter p1 and second feature parameter p2,
Wherein, p1=rcoal/rfk, p2=rcoal/rsh,
Obtain the calculating of the first gassiness component sgp1 by described fisrt feature parameter p1 and described air content sdg Formula, is obtained the calculating of the second gassiness component sgp2 by described second feature parameter p2 and described air content sdg Formula,
Described coal bed gas content sg is described first gassiness component sgp1 and described second gassiness component sgp2 Function.
3. method according to claim 2 is it is characterised in that described resistivity rfk, resistivity rsh And resistivity rcoalAll obtained by well-log information with air content sdg.
4. according to the method in claim 2 or 3 it is characterised in that described first gassiness component sgp1 It is linear increment relation with described fisrt feature parameter p1,
Described second gassiness component sgp2 and described second feature parameter p2 are linear increment relations.
5. the method according to any one of claim 2 to 4 it is characterised in that
Described first gassiness component sgp1 is expressed from the next:
Sgp1=a1 × p1+b1,
Described second gassiness component sgp2 is expressed from the next:
Sgp2=a2 × p2+b2,
Wherein, for specific target coal seam, described parameter a1, b1, a2 and b2 are fixed value, and institute State parameter a1 and a2 is more than zero.
6. method according to claim 5 is it is characterised in that the meter of described first gassiness component sgp1 The calculating formula of formula and described second gassiness component sgp2 is obtained by least square fitting.
7. the method according to any one of claim 2 to 6 is it is characterised in that described target coal seam Coal bed gas content sg is described first gassiness component sgp1 and the weighted sum of described second gassiness component sgp2.
8. method according to claim 7 is it is characterised in that the coal bed gas content of described target coal seam Sg is expressed from the next:
Sg=c1 × sgp1+c2 × sgp2,
Wherein, described c1 and c2 is respectively described first gassiness component sgp1 and described second gassiness component sgp2 Weight coefficient, and c1+c2=1.
9. according to claim 8 method it is characterised in that the numerical value of described c1 and described c2 is 1/2.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050194133A1 (en) * 2003-02-28 2005-09-08 Yates Petroleum Corporation Methods of evaluating undersaturated coalbed methane reservoirs
CN102565112A (en) * 2011-12-14 2012-07-11 中国石油天然气股份有限公司 Method for measuring and calculating free gas content in coal bed gas
CN103364844A (en) * 2012-04-10 2013-10-23 中国石油天然气集团公司 Coal-bed gas-content calculation method
CN103592687A (en) * 2013-11-22 2014-02-19 中国石油化工集团公司 Quantitative calculation method for coal and rock adsorbed gas content
CN104514552A (en) * 2013-09-27 2015-04-15 中国石油天然气集团公司 Method for identification and abundance prediction of coalbed methane reservoirs
CN104632187A (en) * 2013-11-14 2015-05-20 中国石油化工股份有限公司 Method for determining dynamic reserve volume of water production coal seam gas well

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050194133A1 (en) * 2003-02-28 2005-09-08 Yates Petroleum Corporation Methods of evaluating undersaturated coalbed methane reservoirs
CN102565112A (en) * 2011-12-14 2012-07-11 中国石油天然气股份有限公司 Method for measuring and calculating free gas content in coal bed gas
CN103364844A (en) * 2012-04-10 2013-10-23 中国石油天然气集团公司 Coal-bed gas-content calculation method
CN104514552A (en) * 2013-09-27 2015-04-15 中国石油天然气集团公司 Method for identification and abundance prediction of coalbed methane reservoirs
CN104632187A (en) * 2013-11-14 2015-05-20 中国石油化工股份有限公司 Method for determining dynamic reserve volume of water production coal seam gas well
CN103592687A (en) * 2013-11-22 2014-02-19 中国石油化工集团公司 Quantitative calculation method for coal and rock adsorbed gas content

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
中石油煤层气有限责任公司: "《2010年中国非常规天然气勘探开发技术进展》", 31 August 2011, 中国矿业大学出版社 *
马林: "延川南工区煤层气含量测井评价方法探讨", 《油气藏评价与开发》 *

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