CN110346416A - The method of characteristic parameter Curves Recognition Volcanic uranium deposit based on sound wave and resistivity - Google Patents
The method of characteristic parameter Curves Recognition Volcanic uranium deposit based on sound wave and resistivity Download PDFInfo
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Abstract
The present invention relates to the methods based on sound wave and the characteristic parameter Curves Recognition Volcanic uranium deposit of resistivity, comprising the following steps: (1) obtains the interval transit time curve of volcanic rock to be identified；(2) resistivity curve of volcanic rock to be identified is obtained；(3) resistivity curve obtained to the interval transit time curve that step (1) obtains with step (2) performs mathematical calculations, and obtains characteristic parameter curve.The method of characteristic parameter Curves Recognition Volcanic uranium deposit disclosed by the invention based on sound wave and resistivity has the advantages that 1, improves the identification of Volcanic uranium deposit in the longitudinal direction, good with the sieve residue log goodness of fit；2, the convenience and objectivity of Volcanic uranium deposit identification are improved.
Description
Technical field
The present invention relates to a kind of methods for identifying lithology, and in particular to a kind of bent based on sound wave and the characteristic parameter of resistivity
The method of line identification Volcanic uranium deposit.
Background technique
In alive boundary stone exploration activity and Development history, with the development of petroleum industry and the raising of exploration engineering, both at home and abroad
Oil-gas exploration is constantly succeeded in volcanic reservoirs, it is shown that huge oil-gas exploration and development potentiality, with clastic rock and carbon
Carbonate Rocks are compared, and igneous rockss are increasingly complex, how to be identified biggish problem in always industry to Volcanic uranium deposit,
Due to the composition mineralogical composition quartz of volcanic rocks, feldspar, olivine, pyroxene, hornblend, mica equal size
Variation, so that Volcanic uranium deposit is complicated and changeable, volcanic rock logging response character is mainly rock forming mineral, pore structure and development journey
The concentrated expressions such as degree, crack, rock alteration and oil gas situation, and the chemical component of volcanic rock, mineral composition are in log response
In factor.Log response has complexity and multi-solution, it is generally difficult to Volcanic uranium deposit is identified with one, two kind of log,
A variety of well-log information identification Volcanic uranium deposits must be comprehensively utilized, therefore establish a set of effective Volcanic uranium deposit identification point
One of the problem of class method is this field urgent need to resolve.
Summary of the invention
Goal of the invention: the present invention has made improvements in view of the above-mentioned problems of the prior art, i.e., the invention discloses be based on
The method of sound wave and the characteristic parameter Curves Recognition Volcanic uranium deposit of resistivity, which solve single log parameters to igneous rock
Lithological response relationship is unobvious, and the problem that well logging Multiparameter is more complex.
Technical solution: the method for the characteristic parameter Curves Recognition Volcanic uranium deposit based on sound wave and resistivity, including it is following
Step:
(1) interval transit time curve for obtaining volcanic rock to be identified, subsequently into step (2)；
(2) resistivity curve for obtaining volcanic rock to be identified, subsequently into step (3)；
(3) resistivity curve obtained to the interval transit time curve that step (1) obtains with step (2) performs mathematical calculations,
Characteristic parameter curve is obtained, specific formula is as follows:
In formula
CP is characterized parameter curve；
RT is resistivity curve；
AC is interval transit time curve；Wherein:
As 0≤CP < 0.4, Volcanic uranium deposit to be identified is to dodge feldspar；
As 0.4≤CP < 2.1, Volcanic uranium deposit to be identified is andesite；
As 2.1≤CP < 3.1, Volcanic uranium deposit to be identified is vent breccia；
As 3.1≤CP < 5.4, Volcanic uranium deposit to be identified is tuffaceous sand conglomerate；
As 5.4≤CP < 16, Volcanic uranium deposit to be identified is tuffaceous sandstone
As 16≤CP < 50, Volcanic uranium deposit to be identified is dignified limestone.
Further, by picking up the corresponding interval transit time curve of difference Volcanic uranium deposit section in well curve in step (1)
Value, and then obtain the interval transit time curve of volcanic rock to be identified.
Further, by picking up the corresponding resistivity curve value of difference Volcanic uranium deposit section in well curve in step (2),
And then obtain the resistivity curve of volcanic rock to be identified.
The sensibility of Volcanic uranium deposit can be amplified by the mathematical operation, so that characteristic parameter curve is for Volcanic Rocks
Property differentiation codomain it is wider, react it is more sensitive.
Characteristic parameter curve (CP) obtained in formula (1) is intersected with Volcanic uranium deposit and interval transit time curve,
It can be found that characteristic parameter curve (CP) obviously increases the sensibility of Volcanic uranium deposit, different lithology has apparent value
Interval range can carry out subsequent sequence dividing according to this feature parameter curve (CP) and reservoir inversion works.
The utility model has the advantages that the side of the characteristic parameter Curves Recognition Volcanic uranium deposit disclosed by the invention based on sound wave and resistivity
Method has the advantages that
1, the present invention is a kind of by performing mathematical calculations to well logging multi-parameter, reaches through single threshold value and identifies fire
The method of mountain rock lithology, on the basis of obtaining the log value of interval transit time, the parameters such as resistivity, the fire that is collected into according to early period
Mountain rock lithology type is established lithology type with gained log value and is intersected with the well logging multi-parameter of the corresponding relationship of log value
Figure recycles the reciprocal of resistivity curve value to make characteristic parameter curve multiplied by interval transit time curve value, obtains single identification
The threshold value of Volcanic uranium deposit is good with the sieve residue log goodness of fit the method increase the identification of Volcanic uranium deposit in the longitudinal direction
2, parameter selection of the present invention is intuitive and reliable, does not also need the conversion for carrying out function, substantially increases Volcanic uranium deposit
The convenience and objectivity of identification.
Detailed description of the invention
Fig. 1 a is the Carboniferous System Volcanic uranium deposit type distribution of 16 well of coloured silk of Junggar Basin Bai Jiahai protrusion in embodiment
Figure；
Fig. 1 b is the Carboniferous System Volcanic uranium deposit type distribution of 31 well of coloured silk of Junggar Basin Bai Jiahai protrusion in embodiment
Figure；
Fig. 1 c is the Carboniferous System Volcanic uranium deposit type distribution of 34 well of coloured silk of Junggar Basin Bai Jiahai protrusion in embodiment
Figure；
Fig. 2 is the color 34 well Carboniferous System lithology-electrical property composite columnar section of Junggar Basin Bai Jiahai protrusion in embodiment；
Color 31 wells of Junggar Basin Bai Jiahai protrusion in Fig. 3 embodiment, color 34 wells, color 16 well Carboniferous System Volcanic uranium deposits from
Right gamma (GR), resistivity (RT) cross plate；
Color 31 wells of Junggar Basin Bai Jiahai protrusion in Fig. 4 embodiment, color 34 wells, color 16 well Carboniferous System Volcanic uranium deposits from
Right gamma (GR), density (DEN) cross plate
Color 31 wells of Junggar Basin Bai Jiahai protrusion in Fig. 5 embodiment, color 34 wells, in color 16 well Carboniferous System Volcanic uranium deposits
Sub-aperture porosity (CNL), density (DEN) cross plate
Color 31 wells of Junggar Basin Bai Jiahai protrusion in Fig. 6 embodiment, color 34 wells, color 16 well Carboniferous System Volcanic uranium deposits from
Right gamma (GR), interval transit time (AC) cross plate
Color 31 wells of Junggar Basin Bai Jiahai protrusion in Fig. 7 embodiment, color 34 wells, color 16 well Carboniferous System Volcanic uranium deposits with
Interval transit time (AC), characteristic parameter curve (1/RT*AC) cross plate；
The color 34 well Carboniferous System composite columnar sections of Junggar Basin Bai Jiahai protrusion in Fig. 8 embodiment.
Specific embodiment:
Detailed description of specific embodiments of the present invention below.
The method of characteristic parameter Curves Recognition Volcanic uranium deposit based on sound wave and resistivity, comprising the following steps:
(1) interval transit time curve for obtaining volcanic rock to be identified, subsequently into step (2)；
(2) resistivity curve for obtaining volcanic rock to be identified, subsequently into step (3)；
(3) resistivity curve obtained to the interval transit time curve that step (1) obtains with step (2) performs mathematical calculations,
Characteristic parameter curve is obtained, specific formula is as follows:
In formula
CP is characterized parameter curve；
RT is resistivity curve；
AC is interval transit time curve；Wherein:
As 0≤CP < 0.4, Volcanic uranium deposit to be identified is to dodge feldspar；
As 0.4≤CP < 2.1, Volcanic uranium deposit to be identified is andesite；
As 2.1≤CP < 3.1, Volcanic uranium deposit to be identified is vent breccia；
As 3.1≤CP < 5.4, Volcanic uranium deposit to be identified is tuffaceous sand conglomerate；
As 5.4≤CP < 16, Volcanic uranium deposit to be identified is tuffaceous sandstone
As 16≤CP < 50, Volcanic uranium deposit to be identified is dignified limestone.
Further, by picking up the corresponding interval transit time curve of difference Volcanic uranium deposit section in well curve in step (1)
Value, and then obtain the interval transit time curve of volcanic rock to be identified.
Further, by picking up the corresponding resistivity curve value of difference Volcanic uranium deposit section in well curve in step (2),
And then obtain the resistivity curve of volcanic rock to be identified.
The object of the present invention is to provide one kind by being known to reach through single threshold value to well logging multi-parameter operation
The method of other igneous rockss, below by taking Junggar Basin Bai Jiahai protrusion Carboniferous System field as an example, comprising the following steps:
1) carry out Volcanic uranium deposit for the San Koujing (color 16 wells, color 31 wells and color 34 wells) for boring the chance Carboniferous System in research area
Statistical work (as shown in Fig. 1 a to Fig. 1 c), according to sieve residue log data and part coring data it is found that the main fire in this area
Mountain rock lithology mainly include include dignified limestone, tuffaceous sandstone, tuffaceous sand conglomerate, andesite, peace mountain vent breccia, English
Pacify vent breccia, diabase etc., lithology more mixes, wherein further including part mudstone foundation.
2) by being analyzed color 34 wells (as shown in Figure 2), color 31 wells, color 16 borehole logging tool curves it is found that different well loggings
Curve has different response characteristics to different Volcanic uranium deposits, can be rough by different Volcanic Rocks according to these features
Property distribution distinguishes.
3) be difficult accurately to be distinguished lithology with log single in step 2), be difficult in this case into
The sequence dividing and reservoir prediction of row next step work.Therefore log numerical value has been carried out for the different lithology of each volcanic rock
Statistical work, its rough log codomain range statistics is come out and is made the plate that crosses (as shown in figures 3 to 6), from
Crossing can find that resistivity (RT) curve and interval transit time (AC) curve have certain rule to the response of Volcanic uranium deposit in plate
Rule, but rule is not obvious, and in order to amplify this response characteristic, we have made the characteristic parameter curve based on both curves
(1/RT*AC)。
4) by characteristic parameter curve (1/RT*AC) in the plate that crosses of interval transit time curve (AC) we can be found that
(as shown in Figure 7), all kinds of lithology of volcanic rock have clearly single threshold value (as shown in table 1) in characteristic parameter curve, can
Different Volcanic uranium deposits is divided by these threshold values, this feature parameter curve can be used as Stratigraphic Division And Correlation (such as Fig. 8 institute
Show) and reservoir prediction work base curve applied, reduce Volcanic uranium deposit identification difficulty, improve accuracy.
Table 1
Embodiments of the present invention are elaborated above.But present invention is not limited to the embodiments described above,
Technical field those of ordinary skill within the scope of knowledge, can also do without departing from the purpose of the present invention
Various change out.
Claims (3)
1. the method for the characteristic parameter Curves Recognition Volcanic uranium deposit based on sound wave and resistivity, which is characterized in that including following
Step:
(1) interval transit time curve for obtaining volcanic rock to be identified, subsequently into step (2)；
(2) resistivity curve for obtaining volcanic rock to be identified, subsequently into step (3)；
(3) resistivity curve obtained to the interval transit time curve that step (1) obtains with step (2) performs mathematical calculations, and obtains
Characteristic parameter curve, specific formula is as follows:
In formula
CP is characterized parameter curve；
RT is resistivity curve；
AC is interval transit time curve；Wherein:
As 0≤CP < 0.4, Volcanic uranium deposit to be identified is to dodge feldspar；
As 0.4≤CP < 2.1, Volcanic uranium deposit to be identified is andesite；
As 2.1≤CP < 3.1, Volcanic uranium deposit to be identified is vent breccia；
As 3.1≤CP < 5.4, Volcanic uranium deposit to be identified is tuffaceous sand conglomerate；
As 5.4≤CP < 16, Volcanic uranium deposit to be identified is tuffaceous sandstone
As 16≤CP < 50, Volcanic uranium deposit to be identified is dignified limestone.
2. the method for the characteristic parameter Curves Recognition Volcanic uranium deposit as described in claim 1 based on sound wave and resistivity,
It is characterized in that, by picking up the corresponding interval transit time curve value of difference Volcanic uranium deposit section in well curve in step (1), and then obtains
Take the interval transit time curve of volcanic rock to be identified.
3. the method for the characteristic parameter Curves Recognition Volcanic uranium deposit as described in claim 1 based on sound wave and resistivity,
It is characterized in that, by picking up the corresponding resistivity curve value of difference Volcanic uranium deposit section in well curve in step (2), and then obtains
The resistivity curve of volcanic rock to be identified.
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| CN112528106A (en) * | 2019-12-20 | 2021-03-19 | 中国石油天然气股份有限公司 | Volcanic lithology identification method |
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