CN106249314A - Rich organic mud stone section and low organic mud stone section division methods - Google Patents
Rich organic mud stone section and low organic mud stone section division methods Download PDFInfo
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- CN106249314A CN106249314A CN201610916518.9A CN201610916518A CN106249314A CN 106249314 A CN106249314 A CN 106249314A CN 201610916518 A CN201610916518 A CN 201610916518A CN 106249314 A CN106249314 A CN 106249314A
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Abstract
The invention provides rich organic mud stone section and low organic mud stone section division methods, it is characterised in that concretely comprise the following steps: utilize conventional logging data to identify the silty in low organic mud stone section；Rock core arrange multiple sampled point and sampled point is carried out total rock analysis, obtaining the calcium salt content of described sampled point；With it has been determined that the coefficient of equation of linear regression identify the calcilutite in the low organic mud stone section of full well section.The present invention, by getting rid of the interference of low organic mud stone section, effectively determines the scope of rich organic mud stone section.
Description
Technical field
The present invention relates to rich organic mud rock geology exploration and evaluate design field, in particular to a kind of rich
Organic mud stone section and low organic mud stone section division methods.
Background technology
The structural feature of rich organic mud stone is closely related with its depositional environment, and these rich organic intervals are not only China
As the important sources of solid combustible mineral, the important source rock of a lot of Gas Fields of Ye Shi China, the therefore rich organic mud stone of research
Structural feature to probe into rock deposition mechanism and instruct oil and gas prospect exploitation all have great meaning.
But, the characterizing method of current underground richness organic matter mud stone structural feature is mainly obtained by core observation method,
Owing to the cost of coring of rock core is high, coring bed observation few, artificial rock core subjective factors affects accuracy rate etc. and limits underground
The most how the understanding of rich organic mud stone structural feature, find the table of an economy rich organic mud stone structural feature efficiently
The method of levying has scientific research widely and industrial application value.
Summary of the invention
The present invention is Application No. CN201410353208.1, the entitled " table of a kind of rich organic mud stone sedimentary structure
Levy method " the divisional application of patent application.
It is an object of the invention to provide a kind of rich organic mud stone section and low organic mud stone section division methods, to solve
Technical problem present in prior art.
Embodiments provide the characterizing method of a kind of rich organic mud stone sedimentary structure, comprise the steps:
(A) in same oil-gas exploration and development block, conventional logging data and conventional logging data analysis is utilized to mark off
Rich organic mud stone section and low organic mud stone section；
(B) the rich organic mud stone section core data of observation identifies the sedimentary structure spy that rich organic mud stone section rock core is corresponding
Levy, and mud stone section organic to richness carries out the sampling of layer position and prepare thin slice, observes described thin slice to have determined the Duan Wen that cores respectively
Stratiform mud stone is grown section and has the section of coring bulk mud stone to grow the depth bounds of section；
(C) by above-mentioned steps obtain described in have the section of coring lamellar mud stone grow section and described have the section of coring bulk mud
The depth bounds of rock growth section combines the change frequency of imaging logging data corresponding to described depth bounds, draws described in each section
The maximum of imaging logging data variation frequency that depth bounds is corresponding, minima；
(D) by the described maximum having the section of coring bulk mud stone to grow section imaging logging data variation frequency with described take
The minima of heart section lamellar mud stone growth section imaging logging data variation frequency is averaged as lamellar mud after being added
Rock grows section and the cut off value of block mud stone growth section；
(E) by observing full well section imaging logging data variation frequency, described full well section imaging logging data variation frequency
Grow section more than described cut off value for lamellar mud stone, grow section less than described cut off value for block mud stone.
The characterizing method of a kind of rich organic mud stone sedimentary structure that the embodiment of the present invention provides, with richness of the prior art
The characterizing method of organic mud stone sedimentary structure is compared, and is analyzed and processed by core observation, thin section identification, well logging, logging data,
Defining a whole set of accurate identification technology to underground mud stone rock layers reason structural feature, it not only identifies without the section of coring underground richness
Organic mud stone structural feature, also eliminates artificial this subjective factors of rock core of observing and causes inaccurate impact, and need not
Core for every section, reduce sign cost.
Preferably, the concretely comprising the following steps of described step (A):
(A1) conventional logging data are utilized to identify the silty in low organic mud stone section；
(A2) multiple sampled point it is set on rock core and sampled point is carried out total rock analysis, obtaining the calcium salt of described sampled point
Content, and described calcium salt content is substituted into following equation of linear regression, determine the coefficient of described equation of linear regression: calcium salt contains
Amount=a × SP+b × LLD-c × CNL+d × AC+e, wherein SP is natural potential parameter, to resistance parameter on front side of LLD, CNL
Being neutron density parameter, AC is acoustic wave parameter, and a, b, c, d, e are formula undetermined coefficients；
(A3) with above-mentioned it has been determined that the coefficient of described equation of linear regression identify the low organic mud stone section of full well section
In calcilutite: calcium salt content more than 25% mud stone section be calcilutite.
By getting rid of the interference of low organic mud stone section, it is determined that the scope of rich organic mud stone section.
Preferably, in described step (B), carry out using layer position etc. when thin slice is prepared in the sampling of layer position to rich organic mud stone section
The mode of spacing sampling prepares thin slice, and when carrying out the sampling of layer position in order to make data more perfect, record is more accurate, preferably with equidistantly
Mode be sampled.
Preferably, in described step (C), drawing the imaging logging data variation frequency of each section of described depth bounds
The meansigma methods of the imaging logging data variation frequency of each section of described depth bounds is calculated, meter while maximum, minima
Calculating meansigma methods is the fluctuation range in order to determine change frequency, if it is excessive to fluctuate, some data possible occur in that bad point.
Preferably, in described step (A2), when rock core arranging multiple sampled point and sampled point carried out total rock analysis
The mode using equidistant sampling arranges multiple sampled point, and same preferably adopts when carrying out total rock and analyzing in the way of equidistant
Sample is so that data are more perfect, accurately, will not omit the most important rock section.
Accompanying drawing explanation
Fig. 1 shows that the section of the coring bulk mud stone that has of the embodiment of the present invention grows the resistivity imaging source map of section；
Fig. 2 shows that the section of the coring bulk mud stone that has of the embodiment of the present invention grows the structural feature figure of section；
Fig. 3 shows that the section of the coring lamellar mud stone that has of the embodiment of the present invention grows the resistivity imaging source map of section；
Fig. 4 shows that the section of the coring lamellar mud stone that has of the embodiment of the present invention grows the structural feature figure of section；
Fig. 5 shows that 1928m-1930m and 1935m-1937m of the embodiment of the present invention has the section of coring bulk mud stone to grow section
Resistivity imaging data calibration maps；
Fig. 6 shows that the 1971-1972m of the embodiment of the present invention has the section of coring bulk mud stone to grow the resistivity imaging money of section
Material calibration maps；
Fig. 7 shows that the resistivity that the 2044m-2055m of the embodiment of the present invention has the section of coring lamellar mud stone to grow section becomes
As data calibration maps.
Detailed description of the invention
Below by specific embodiment and combine accompanying drawing the present invention is described in further detail.
Embodiment 1
As a example by the well of Zhaotong 4, the characterizing method that full well carries out rich organic mud stone structure is as follows:
(A) conventional logging data and conventional logging data are utilized to identify the low organic mud stone section of Zhaotong 4 well；
(A1) utilize conventional logging data information figure, identify silty: record according to Zhaotong in study area 4 well routine
Well data information figure shows, grows and has the interval of siltstone and silty to be set to silty section.Identify 3 sections of flour sands
Matter mud stone section, mainly has: 1889m-1892m, 1994m-1996m, 2001m-2044m；
(A2) equidistantly sample at rock core, and sampled point carried out total rock analysis, obtain the calcium salt content of sampled point,
According to linear regression, obtain calculating the coefficient in calcium salt content formula: calcium salt content=-0.940 × SP+0.016 × LLD-
1.955 × CNL+0.192 × AC+71.777, wherein SP is natural potential parameter, to resistance parameter on front side of LLD, during CNL is
Sub-density parameter, AC is acoustic wave parameter；
(A3) by above-mentioned it has been determined that good equation of linear regression is applied to Zhaotong 4 well full well section, full well section calcium salt is obtained
Content, utilizes calculated full well section calcium salt content, identifies calcilutite, and the calcium salt content mud stone section more than 25% is
Calcilutite, is shown by full well section calcium salt content: calcilutite section mainly has: 1860m-1889m, 1892m-1926m,
2055m-2067m；
(B) observing rich organic mud stone section core data and the sheet data prepared, data demonstrate that rock core does not has
Standby obvious layer is managed, the fuzzyyest, and thin slice display main component is clay, is mingled with aleuritic texture composition more, shows stratification less
Property, clay particle (or clay scale) orients (spatially disordered arrangements does not have unified delustring under polarizing microscope) without obvious,
A small amount of big particle can orient, and such as shell, carbon dust, white mica etc., the mud stone Duan Zewei with this feature typically takes
Heart section bulk mud stone grows section, and main depth bounds has 1935m-1937m, specific configuration to see Fig. 1 and Fig. 2；
Data display rock core show that possessing obvious layer manages, and layer is put in order clear, and thin slice shows its major developmental clay and organic
Matter lamina, this section of lamina boundary line is high-visible, and seriality is fine, and the mud stone Duan Zewei with this feature typically has the section of coring
Lamellar mud stone grows section, and main depth bounds has 2044.4m-2055m, specific configuration to see Fig. 3 and Fig. 4；
(C) for imaging logging data variation frequency demarcating maxima and minima that depth bounds is corresponding:
For block mud stone section, the most representational have the interval cored respectively: 1928m-1930m, 1935m-
1937m, 1971m-1972m, be specifically shown in Fig. 5-6, and the layer reason row in figure are then imaging logging data variation frequency；
1928m-1930m section: the maximum of crest frequency is 0.534, minima is 0.452, and meansigma methods is 0.491；
1935m-1937m section: the maximum of crest frequency is 0.517, minima is 0.350, and meansigma methods is 0.428；
1971m-1972m section: the maximum of crest frequency is 0.575, minima is 0.484, and meansigma methods is 0.532；
Comprehensive information above, the crest frequency maximum having the section of coring bulk mud stone to grow section is 0.575, and minima is
0.35, meansigma methods is 0.484；
For lamellar mud stone section, the section of coring is concentrated mainly on 2044m-2055m.Choose representational four sections to grind
Study carefully, be respectively as follows: 2044m-2046m, 2046m-2049m, 2049m-2053m, 2053m-2055m, referring specifically to Fig. 7；
2044m-2046m section: the maximum of crest frequency is 0.646, minima is 0.575, and meansigma methods is 0.591；
2046m-2049m section: the maximum of crest frequency is 0.803, minima is 0.583, and meansigma methods is 0.677；
2049m-2053m section: the maximum of crest frequency is 0.806, minima is 0.575, and meansigma methods is 0.698；
2053m-2055m section: the maximum of crest frequency is 0.762, minima is 0.578, and meansigma methods is 0.673；
Comprehensive information above, the crest frequency maximum of the lamellar mud stone section of the section of coring is 0.806, and minima is
0.575, meansigma methods is 0.660；
(D) minima having the imaging logging data variation frequency of the section of coring lamellar mud stone growth section is 0.575, takes
The maximum of the imaging logging data variation frequency that heart section bulk mud stone grows section is 0.575, averages after being therefore added
Obtain 0.575 and grow section and the cut off value of block mud stone growth section as lamellar mud stone；
(E) by observing full well section imaging logging data variation frequency, full well section imaging logging data variation frequency is more than
Cut off value grow section for lamellar mud stone, grow section less than cut off value for block mud stone, symbolize rich organic mud stone
Sedimentary structure is as follows:
The growth interval of lamellar mud stone mainly has: 1926m-1929m, 1931m-1935m, 1937m-1948m, 1957m-
1971m、1973m-1981m、1986m-1987m、1989m-1991m、2044m-2055m；
The growth interval of block mud stone mainly has: 1929m-1931m, 1935m-1937m, 1948m-1957m, 1971m-
1973m、1981m-1986m、1987m-1989m、1991m-1994m、1996m-2001m。
The embodiment of the present invention is analyzed and processed by core observation, thin section identification, well logging, logging data, and it is a set of right to define
The accurate characterizing method of underground richness organic matter mud stone sedimentary structure, not only eliminates what original rock core observation procedure was brought
The error that anthropic factor causes, also utilizes well logging and log data to discharge the low organic mud stone section that allos is mixed into, and science is closed
Reason.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, that is made any repaiies
Change, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (3)
1. rich organic mud stone section and low organic mud stone section division methods, it is characterised in that concretely comprise the following steps:
(A1) conventional logging data are utilized to identify the silty in low organic mud stone section；
(A2) arranging multiple sampled point on rock core and sampled point is carried out total rock analysis, the calcium salt obtaining described sampled point contains
Amount, and described calcium salt content is substituted into following equation of linear regression, determine the coefficient of described equation of linear regression: calcium salt content
=a × SP+b × LLD-c × CNL+d × AC+e, wherein SP is natural potential parameter, and to resistance parameter on front side of LLD, CNL is
Neutron density parameter, AC is acoustic wave parameter, and a, b, c, d, e are formula undetermined coefficients；
(A3) with above-mentioned it has been determined that the coefficient of described equation of linear regression identify in the low organic mud stone section of full well section
Calcilutite: the calcium salt content mud stone section more than 25% is calcilutite.
Rich organic mud stone section the most according to claim 1 and low organic mud stone section division methods, it is characterised in that step
Suddenly, in (A2), equidistantly sample at described rock core.
Rich organic mud stone section the most according to claim 2 and low organic mud stone section division methods, it is characterised in that also
Including step:
(B) observe rich organic mud stone section core data and identify the sedimentary structure feature that rich organic mud stone section rock core is corresponding,
And rich organic mud stone section is carried out the sampling of layer position prepare thin slice, observe described thin slice to have determined the section of coring lamellar respectively
Mud stone is grown section and has the section of coring bulk mud stone to grow the depth bounds of section；
(C) by above-mentioned steps obtain described in have the section of coring lamellar mud stone grow section and described have the section of coring bulk mud stone to send out
The depth bounds of the section of educating combines the change frequency of imaging logging data corresponding to described depth bounds, draws each section of described degree of depth
The maximum of imaging logging data variation frequency corresponding to scope, minima；
(D) by the described maximum having the section of coring bulk mud stone to grow section imaging logging data variation frequency with described have the section of coring
The minima of lamellar mud stone growth section imaging logging data variation frequency is averaged after being added and is sent out as lamellar mud stone
The section of educating and block mud stone grow the cut off value of section.
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| CN201410353208.1A CN104142523B (en) | 2014-07-23 | 2014-07-23 | Representation method for rich organic matter mud rock sedimentary structure |
| CN201610916518.9A CN106249314B (en) | 2014-07-23 | 2014-07-23 | Rich organic matter mud stone section and low organic matter mud stone section division methods |
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Citations (3)
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| US5699246A (en) * | 1995-09-22 | 1997-12-16 | Schlumberger Technology Corporation | Method to estimate a corrected response of a measurement apparatus relative to a set of known responses and observed measurements |
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| US7902827B2 (en) * | 2006-09-19 | 2011-03-08 | Baker Hughes Incorporated | Method and apparatus for combined induction and imaging well logging |
| US7966874B2 (en) * | 2006-09-28 | 2011-06-28 | Baker Hughes Incorporated | Multi-resolution borehole profiling |
| CN102621594B (en) * | 2012-03-31 | 2014-01-08 | 中国海洋石油总公司 | Bedding structure recognition method and system |
| CN103529475B (en) * | 2013-04-19 | 2016-08-03 | 中国石油大学(华东) | A kind of method identified and explain carbonate paleokarst reservoir three dimensional structure |
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| US5699246A (en) * | 1995-09-22 | 1997-12-16 | Schlumberger Technology Corporation | Method to estimate a corrected response of a measurement apparatus relative to a set of known responses and observed measurements |
| CN103616724A (en) * | 2013-12-09 | 2014-03-05 | 中国石油天然气股份有限公司 | Method for accurately describing lithological characters of unconventional tight oil gas core in detail |
| CN103713320A (en) * | 2013-12-31 | 2014-04-09 | 孙赞东 | Organic-matter-rich mud shale rock physical model establishing method |
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| CN106249314B (en) | 2018-10-26 |
| CN104142523A (en) | 2014-11-12 |
| CN104142523B (en) | 2017-01-11 |
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