CN106249314B - Rich organic matter mud stone section and low organic matter mud stone section division methods - Google Patents

Rich organic matter mud stone section and low organic matter mud stone section division methods Download PDF

Info

Publication number
CN106249314B
CN106249314B CN201610916518.9A CN201610916518A CN106249314B CN 106249314 B CN106249314 B CN 106249314B CN 201610916518 A CN201610916518 A CN 201610916518A CN 106249314 B CN106249314 B CN 106249314B
Authority
CN
China
Prior art keywords
section
mud stone
organic matter
matter mud
coring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610916518.9A
Other languages
Chinese (zh)
Other versions
CN106249314A (en
Inventor
张元福
张海波
姜在兴
王志峰
胡晨林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China University of Geosciences Beijing
Original Assignee
China University of Geosciences Beijing
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China University of Geosciences Beijing filed Critical China University of Geosciences Beijing
Priority to CN201610916518.9A priority Critical patent/CN106249314B/en
Publication of CN106249314A publication Critical patent/CN106249314A/en
Application granted granted Critical
Publication of CN106249314B publication Critical patent/CN106249314B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00

Landscapes

  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Geophysics (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The present invention provides rich organic matter mud stone sections and low organic matter mud stone section division methods, which is characterized in that the specific steps are:The silty in low organic matter mud stone section is identified using conventional logging data;Multiple sampled points are set on rock core and total rock analysis is carried out to sampled point, obtain the calcium salt content of the sampled point;The calcilutite in the low organic matter mud stone section of full well section is identified with the coefficient for the equation of linear regression having determined.The present invention effectively determines the range of rich organic matter mud stone section by the interference of the low organic matter mud stone section of exclusion.

Description

Rich organic matter mud stone section and low organic matter mud stone section division methods
Technical field
The present invention relates to the exploration of rich organic matter mud rock geology and evaluation design fields, in particular to a kind of richness Organic matter mud stone section and low organic matter mud stone section division methods.
Background technology
The construction feature and its depositional environment of rich organic matter mud stone are closely related, these rich organic matter intervals are not only China As the important source rock of many Gas Fields of the important sources of solid combustible mineral and China, therefore study rich organic matter mud stone Construction feature to probe into rock deposition mechanism and instruct oil and gas prospect exploitation have great meaning.
But the characterizing method of underground richness organic matter mud stone construction feature is mainly obtained by core observation method at present, Since the coring of rock core is of high cost, coring bed is few, artificial observation rock core subjective factor influences accuracy rate etc. and limits to underground The understanding of rich organic matter mud stone construction feature, therefore how to find the table of an economy efficiently rich organic matter mud stone construction feature Sign method has extensive scientific research and industrial application value.
Invention content
The present invention is that application No. is CN201410353208.1, a kind of entitled " tables of richness organic matter mud stone sedimentary structure The divisional application of the patent application of sign method ".
The purpose of the present invention is to provide a kind of rich organic matter mud stone section and low organic matter mud stone section division methods, to solve The technical problems existing in the prior art.
An embodiment of the present invention provides a kind of characterizing methods of rich organic matter mud stone sedimentary structure, include the following steps:
(A) it in same oil-gas exploration and development block, is marked off using conventional logging data and conventional logging data analysis Rich organic matter mud stone section and low organic matter mud stone section;
(B) it observes rich organic matter mud stone section core data and identifies that the corresponding sedimentary structure of rich organic matter mud stone section rock core is special Sign, and layer position sampling is carried out to rich organic matter mud stone section and prepares thin slice, the thin slice is observed to have determined coring Duan Wen respectively Stratiform mud stone develops section and has the depth bounds of coring section bulk mud stone development section;
(C) what is obtained through the above steps described have coring section lamellar mud stone development section and described has coring section bulk mud Rock develops the depth bounds of section in conjunction with the change frequency of the corresponding imaging logging data of the depth bounds, obtains described in each section Maximum value, the minimum value of the corresponding imaging logging data variation frequency of depth bounds;
(D) it by the maximum value for thering is coring section bulk mud stone to develop section imaging logging data variation frequency and described takes The minimum value of heart section lamellar mud stone development section imaging logging data variation frequency is averaged after being added as lamellar mud Rock develops section and blocky mud stone develops the cut off value of section;
(E) by observing full well section imaging logging data variation frequency, the full well section imaging logging data variation frequency It is that lamellar mud stone develops section more than the cut off value, is that blocky mud stone develops section less than the cut off value.
The characterizing method of a kind of rich organic matter mud stone sedimentary structure provided in an embodiment of the present invention, with richness in the prior art The characterizing method of organic matter mud stone sedimentary structure is compared, by core observation, thin section identification, well logging, logging data analyzing processing, It forms a whole set of and technology is accurately identified to underground mud stone rock layers reason construction feature, not only identify no coring section underground richness Organic matter mud stone construction feature also eliminates artificial observation this subjective factor of rock core and causes inaccurate influence, and do not have to Every section of coring reduces characterization cost.
Preferably, the step (A) the specific steps are:
(A1) silty in low organic matter mud stone section is identified using conventional logging data;
(A2) multiple sampled points are set on rock core and total rock analysis is carried out to sampled point, obtain the calcium salt of the sampled point Content, and the calcium salt content is substituted into following equations of linear regression, determine the coefficient of the equation of linear regression:Calcium salt contains Amount=a × SP+b × LLD-c × CNL+d × AC+e, wherein SP are natural potential parameters, to resistance parameter, CNL on front side of LLD It is neutron density parameter, AC is acoustic wave parameter, and a, b, c, d, e are formula undetermined coefficients;
(A3) calcium in the low organic matter mud stone section of full well section is identified with the above-mentioned equation of linear regression having determined Matter mud stone:Mud stone section of the calcium salt content more than 25% is calcilutite.
By the interference for excluding low organic matter mud stone section, it is determined that the range of rich organic matter mud stone section.
Preferably, in the step (B), rich organic matter mud stone section is carried out when layer position sampling prepares thin slice using layer position etc. The mode of spacing sampling prepares thin slice, when carrying out layer position and sampling in order to keep data more perfect, record it is more acurrate, preferably with equidistant Mode be sampled.
Preferably, in the step (C), the imaging logging data variation frequency of each section of depth bounds is being obtained The average value of the imaging logging data variation frequency of each section of depth bounds is calculated while maximum value, minimum value, is counted It is to determine the fluctuation range of change frequency to calculate average value, if fluctuation is excessive, bad point occur in some possible data.
Preferably, in the step (A2), when multiple sampled points are arranged on rock core and carry out total rock analysis to sampled point Multiple sampled points are set by the way of equidistantly sampling, are similarly preferably adopted in a manner of equidistant when carrying out total rock analysis Sample accurately, will not omit wherein important rock section so that data are more perfect.
Description of the drawings
Fig. 1 shows the resistivity imaging source map for having coring section bulk mud stone development section of the embodiment of the present invention;
Fig. 2 shows the construction feature figures for having coring section bulk mud stone development section of the embodiment of the present invention;
Fig. 3 shows the resistivity imaging source map for having coring section lamellar mud stone development section of the embodiment of the present invention;
Fig. 4 shows the construction feature figure for having coring section lamellar mud stone development section of the embodiment of the present invention;
Fig. 5 shows that the 1928m-1930m of the embodiment of the present invention and 1935m-1937m have coring section bulk mud stone to develop section Resistivity imaging data calibration maps;
Fig. 6 shows that the 1971-1972m of the embodiment of the present invention has the resistivity imaging money of coring section bulk mud stone development section Expect calibration maps;
Fig. 7 show the 2044m-2055m of the embodiment of the present invention have coring section lamellar mud stone development section resistivity at As data calibration maps.
Specific implementation mode
The present invention is described in further detail below through specific implementation examples and in conjunction with the accompanying drawings.
Embodiment 1
By taking 4 well of Zhaotong as an example, the characterizing method that rich organic matter mud stone construction is carried out to full well is as follows:
(A) the low organic matter mud stone section of 4 well of Zhaotong is identified using conventional logging data and conventional logging data;
(A1) conventional logging data information figure is utilized, identifies silty:It is routinely recorded according to 4 well of Zhaotong in research area Well data information figure shows that development 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) it is equidistantly sampled in rock core, and total rock analysis is carried out to sampled point, 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 are natural potential parameters, and the front sides LLD are to resistance parameter, during CNL is Sub- density parameter, AC are acoustic wave parameters;
(A3) the above-mentioned equation of linear regression having had determined is applied to the full well section of 4 well of Zhaotong, obtains full well section calcium salt Content, calculated full well section calcium salt content identify that calcilutite, mud stone section of the calcium salt content more than 25% are Calcilutite is shown by full well section calcium salt content:Calcilutite section mainly has:1860m-1889m,1892m-1926m, 2055m-2067m;
(B) observation richness organic matter mud stone section core data and the sheet data prepared, and data show that rock core does not have Standby apparent stratification, relatively fuzzyyer, thin slice shows that main component is clay, is mingled with aleuritic texture ingredient more, shows stratification less Property, clay particle (or clay scale) without apparent orientation (spatially disordered arrangements, petrographic microscope under do not have unified delustring), A small amount of big particle can orient, such as shell, carbon dust, muscovite, and the mud stone Duan Zewei with this feature typically takes Heart section bulk mud stone develops section, and main depth bounds have 1935m-1937m, specific configuration to see Fig. 1 and Fig. 2;
Data show that rock core shows have apparent stratification, and stratification is clear, and thin slice shows its major developmental clay and organic Matter lamina, this section of lamina boundary line is high-visible, and continuity is fine, and the mud stone Duan Zewei with this feature typically has coring section Lamellar mud stone develops section, and main depth bounds have 2044.4m-2055m, specific configuration to see Fig. 3 and Fig. 4;
(C) for the corresponding imaging logging data variation frequency demarcating maxima and minima of depth bounds:
It is more representational to there is the interval of coring to be respectively for blocky mud stone section:1928m-1930m,1935m- 1937m, 1971m-1972m are specifically shown in Fig. 5-6, and the stratification row in figure are then imaging logging data variation frequency;
1928m-1930m sections:The maximum value of crest frequency is 0.534, and minimum value is 0.452, and average value is 0.491;
1935m-1937m sections:The maximum value of crest frequency is 0.517, and minimum value is 0.350, and average value is 0.428;
1971m-1972m sections:The maximum value of crest frequency is 0.575, and minimum value is 0.484, and average value is 0.532;
In summary information, it is 0.575 to have the crest frequency maximum value of coring section bulk mud stone development section, and minimum value is 0.35, average value 0.484;
For lamellar mud stone section, coring section is concentrated mainly on 2044m-2055m.Representational four sections are chosen to be ground Study carefully, respectively:2044m-2046m, 2046m-2049m, 2049m-2053m, 2053m-2055m, referring specifically to Fig. 7;
2044m-2046m sections:The maximum value of crest frequency is 0.646, and minimum value is 0.575, and average value is 0.591;
2046m-2049m sections:The maximum value of crest frequency is 0.803, and minimum value is 0.583, and average value is 0.677;
2049m-2053m sections:The maximum value of crest frequency is 0.806, and minimum value is 0.575, and average value is 0.698;
2053m-2055m sections:The maximum value of crest frequency is 0.762, and minimum value is 0.578, and average value is 0.673;
In summary the crest frequency maximum value of information, the lamellar mud stone section of coring section is 0.806, and minimum value is 0.575, average value 0.660;
(D) it is 0.575 to have the minimum value of the imaging logging data variation frequency of coring section lamellar mud stone development section, is taken The maximum value that heart section bulk mud stone develops the imaging logging data variation frequency of section is 0.575, therefore is averaged after being added Obtain 0.575 cut off value that section is developed as lamellar mud stone development section and blocky 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 is lamellar mud stone development section, is that blocky mud stone develops section less than cut off value, symbolizes rich organic matter mud stone Sedimentary structure is as follows:
The development interval of lamellar mud stone mainly has:1926m-1929m,1931m-1935m,1937m-1948m,1957m- 1971m,1973m-1981m,1986m-1987m,1989m-1991m,2044m-2055m;
The development interval of blocky mud stone mainly has:1929m-1931m,1935m-1937m,1948m-1957m,1971m- 1973m、1981m-1986m、1987m-1989m、1991m-1994m、1996m-2001m。
For the embodiment of the present invention by core observation, thin section identification, well logging, logging data analyzing processing, it is a set of right to form The accurate characterizing method of underground richness organic matter mud stone sedimentary structure, not only eliminates caused by original rock core observation procedure Error caused by human factor, also utilizes well logging and log data that heterologous mixed low organic matter mud stone section has been discharged, and science is closed Reason.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.

Claims (3)

1. rich organic matter mud stone section and low organic matter mud stone section division methods, which is characterized in that the specific steps are:
(A1) silty in low organic matter mud stone section is identified using conventional logging data;
(A2) multiple sampled points are set on rock core and total rock analysis is carried out to sampled point, the calcium salt for obtaining the sampled point contains Amount, and the calcium salt content is substituted into following equations of linear regression, determine the coefficient of the equation of linear regression:Calcium salt content =a × SP+b × LLD-c × CNL+d × AC+e, wherein SP are natural potential parameters, and to resistance parameter, CNL is for the front sides LLD Neutron density parameter, AC are acoustic wave parameters, and a, b, c, d, e are formula undetermined coefficients;
(A3) the calcareous mud in the low organic matter mud stone section of full well section is identified with the above-mentioned equation of linear regression having determined Rock:Mud stone section of the calcium salt content more than 25% is calcilutite.
2. richness organic matter mud stone section according to claim 1 and low organic matter mud stone section division methods, which is characterized in that step Suddenly it in (A2), is equidistantly sampled in the rock core.
3. richness organic matter mud stone section according to claim 2 and low organic matter mud stone section division methods, which is characterized in that also Including step:
(B) it observes rich organic matter mud stone section core data and identifies the corresponding sedimentary structure feature of rich organic matter mud stone section rock core, And layer position sampling is carried out to rich organic matter mud stone section and prepares thin slice, the thin slice is observed to have determined coring section lamellar respectively Mud stone develops section and has the depth bounds of coring section bulk mud stone development section;
(C) what is obtained through the above steps described have coring section lamellar mud stone development section and described has coring section bulk mud stone hair Change frequency of the depth bounds in conjunction with the corresponding imaging logging data of the depth bounds for educating section, obtains each section of depth Maximum value, the minimum value of the corresponding imaging logging data variation frequency of range;
(D) by the maximum value for thering is coring section bulk mud stone to develop section imaging logging data variation frequency and described there is coring section The minimum value of lamellar mud stone development section imaging logging data variation frequency is averaged after being added and is sent out as lamellar mud stone It educates section and blocky mud stone develops the cut off value of section.
CN201610916518.9A 2014-07-23 2014-07-23 Rich organic matter mud stone section and low organic matter mud stone section division methods Active CN106249314B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
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

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
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
CN201410353208.1A CN104142523B (en) 2014-07-23 2014-07-23 Representation method for rich organic matter mud rock sedimentary structure

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
CN201410353208.1A Division CN104142523B (en) 2014-07-23 2014-07-23 Representation method for rich organic matter mud rock sedimentary structure

Publications (2)

Publication Number Publication Date
CN106249314A CN106249314A (en) 2016-12-21
CN106249314B true CN106249314B (en) 2018-10-26

Family

ID=51851749

Family Applications (2)

Application Number Title Priority Date Filing Date
CN201610916518.9A Active CN106249314B (en) 2014-07-23 2014-07-23 Rich organic matter mud stone section and low organic matter mud stone section division methods
CN201410353208.1A Active CN104142523B (en) 2014-07-23 2014-07-23 Representation method for rich organic matter mud rock sedimentary structure

Family Applications After (1)

Application Number Title Priority Date Filing Date
CN201410353208.1A Active CN104142523B (en) 2014-07-23 2014-07-23 Representation method for rich organic matter mud rock sedimentary structure

Country Status (1)

Country Link
CN (2) CN106249314B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
鄂尔多斯盆地三叠系延长组富有机质泥页岩储层特征;耳闯 等;《石油与天然气地质》;20131031;第34卷(第5期);第708-716页 *
页岩油储层基本特征及评价要素;姜在兴 等;《石油学报》;20140131;第35卷(第1期);第184-196页 *

Also Published As

Publication number Publication date
CN106249314A (en) 2016-12-21
CN104142523A (en) 2014-11-12
CN104142523B (en) 2017-01-11

Similar Documents

Publication Publication Date Title
Dong et al. The impact of rock composition on geomechanical properties of a shale formation: Middle and Upper Devonian Horn River Group shale, Northeast British Columbia, Canada
Cramer et al. Testing the limits of Paleozoic chronostratigraphic correlation via high-resolution (< 500 ky) integrated conodont, graptolite, and carbon isotope (δ13Ccarb) biochemostratigraphy across the Llandovery–Wenlock (Silurian) boundary: Is a unified Phanerozoic time scale achievable?
Mochales et al. Chronostratigraphy of the Boltaña anticline and the Ainsa Basin (southern Pyrenees)
Al-Ghamdi et al. An improved triple porosity model for evaluation of naturally fractured reservoirs
CN103869052B (en) A kind of method of sandstone reservoir diagenesis electrofacies quantitatively characterizing
CN103852787A (en) Representation method for diagenetic seismic facies of sandstone reservoir
Incerpi et al. Evidence of hydrothermal fluid flow in a hyperextended rifted margin: the case study of the Err nappe (SE Switzerland)
CN104569343A (en) Shale reservoir brittle mineral logging quantitative characterization method
DeLong et al. Refining temperature reconstructions with the Atlantic coral Siderastrea siderea
Ashqar et al. Evaluating a complex low-resistivity pay carbonate reservoir onshore Abu Dhabi: from model to implementation
CN110593855A (en) Well logging resistivity correction method and oil layer identification method
CN107103165B (en) Method for calculating density of steep dip shear crack line of oil field reservoir
Guo et al. Saturation Determination and Fluid Identification in Carbonate Rocks Based on Well Logging Data: A Middle Eastern Case Study
Cerón et al. Comparison of reservoir quality from La Luna, Gacheta and Eagle Ford shale formations using digital rock physics
Larmagnat et al. Taphonomic filtering in Ordovician bryozoan carbonate mounds, Trenton group, Montmorency falls, Quebec, Canada
Gao et al. Seismic structure and texture analyses for fractured reservoir characterization: An integrated workflow
CN106249314B (en) Rich organic matter mud stone section and low organic matter mud stone section division methods
Marino et al. Integration of quantitative rock classification with core-based geologic studies: Improved regional-scale modeling and efficient exploration of tight shale plays
de Block et al. A new solution for the characterization of unconventional shale resources based on analysis of drill cuttings
Parra et al. NMR and acoustic signatures in vuggy carbonate aquifers
El-Bendary et al. Critical success factors identification to develop unconventional high porosity low permeability shallow limestone reservoir of Apollonia formation, Western Desert, Egypt
Gischler et al. Facies of Devonian fore reef limestones: a quantitative study (Iberg Reef, Harz Mts., Germany)
Alizadeh et al. How to measure the various types of geologic porosities in oil and gas reservoirs using image logs
Moscariello et al. Sequence stratigraphy and reservoir characterisation of barren fluvial sequences using rock-typing analyses of core and cuttings
Osorio Peralta Rock types and flow units in static and dynamic reservoir modeling: Application to mature fields

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant