CN105988137B - Logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging - Google Patents

Logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging Download PDF

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CN105988137B
CN105988137B CN201510071250.9A CN201510071250A CN105988137B CN 105988137 B CN105988137 B CN 105988137B CN 201510071250 A CN201510071250 A CN 201510071250A CN 105988137 B CN105988137 B CN 105988137B
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logging
section
sand
curve
core
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CN105988137A (en
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王军
田同辉
张强
黄旭日
靳利超
晁静
孙志勇
唐军
许彦群
邵德艳
吴满
李钰
李毅
张洪波
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China Petroleum and Chemical Corp
Sinopec Shengli Geological Scientific Reserch Institute
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China Petroleum and Chemical Corp
Sinopec Shengli Geological Scientific Reserch Institute
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Abstract

The present invention provides a kind of logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging, and this method includes:Coring section is divided into mud stone folder flagstone section, gravelly sand rock and the mutual interval of mud stone, glutenite thick-layer section;Mud stone folder flagstone section, gravelly sand rock and the mutual interval of mud stone, three sections of glutenite thick-layer section are marked off on log;The feature of each bar log of comprehensive analysis, find three sections of features in each bar curve;Find the sensitivity curve of three sections of different lithologies of reflection;By shale line in sensitivity curve, substantially inclined particular segment carries out the rotation of baseline;And on the basis of the rotation of particular segment shale line, carry out the reconstruct of full well section logging character curve.Logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging solves the problem that measured curve can not characterize reservoir characteristic, ensures the precision of sand-conglomerate body reservoir inversion, really improves the quality of sand-conglomerate body reservoir inversion.

Description

Logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging
Technical field
The invention belongs to Well Data Processing field in Seismic Reservoir inverting, especially relates to the earthquake storage of sand-conglomerate body Layer inverting reconstruct logging character curve method.
Background technology
Seismic inversion is using earth's surface observation seismic data, using known geologic rule and well-log information as constraint, to underground Strata spatial structure and physical property are imaged the process of (solution).The master data to be used of inverting be exactly log with Seismic data, the quality of seismic data directly affect the quality of inversion result, and the quality of same log also determine inverting As a result quality.In refutation process, people's more attention is the quality of seismic data, to the input of seism processing very Greatly, the quality and input of well-log information are conversely ignored, this ignorance certainly will influence the confidence level of seismic inversion, particularly with extremely strong Heterogeneous sandy gravel materials.The well-log information of conventional reservoir just can clearly reflect the spy of reservoir using the log of actual measurement Sign, can naturally also be directly used in reservoir inversion;But the log surveyed in this special reservoir of glutenite can not be clear Reflect reservoir characteristic, refutation process can not directly ensure the confidence level of inversion result with the log of actual measurement.For this, we send out Understand a kind of logging character curve Reconstruction method of new sand-conglomerate body based on Core-Calibrated Logging, solve above technology and ask Topic.
The content of the invention
It is an object of the invention to provide a kind of sand for the accuracy and confidence that reservoir inversion is greatly improved for reservoir inversion Logging character curve Reconstruction method of the Conglomerate Body based on Core-Calibrated Logging.
The purpose of the present invention can be achieved by the following technical measures:Well logging of the sand-conglomerate body based on Core-Calibrated Logging is special Curve Reconstruction method is levied, logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging includes:Step 1, tie Individual-layer data is closed, carries out the system core observation of coring well, coring section is divided into mud stone folder flagstone section, gravelly sand rock and mud stone Mutual interval, glutenite thick-layer section;Step 2, Core-Calibrated Logging curve is carried out with the achievement of core observation, analysis, passes through rock core The method of scale well logging, it is thick that mud stone folder flagstone section, gravelly sand rock and the mutual interval of mud stone, glutenite are marked off on log Three sections of interval;Step 3, the feature of each bar log of comprehensive analysis, it is mutual that mud stone folder flagstone section, gravelly sand rock and mud stone are found Three sections of interval, glutenite thick-layer section features in each bar curve;Step 4, find reflection mud stone folder flagstone section, gravelly sand rock with The sensitivity curve of the mutual interval of mud stone, glutenite thick-layer three sections of different lithologies of section;Step 5, it is shale line in sensitivity curve is obvious Inclined particular segment carries out the rotation of baseline;And step 6, on the basis of the rotation of particular segment shale line, carry out full well section The reconstruct of logging character curve.
The purpose of the present invention can be also achieved by the following technical measures:
In step 1, geological layering refers to assign the different depth of well section to geologic different time concept, System Rock Heart observation is to observe the most long well of coring section, to see mud stone folder flagstone section, gravelly sand rock and mud stone alternating layers on rock core Section, glutenite thick-layer section.
In step 1, mud stone folder flagstone section is the top of big set glutenite, based on mud stone, is accompanied therebetween a small amount of The lithologic member of sandstone;Gravelly sand rock and the middle part that the mutual interval of mud stone is big set glutenite, based on sandstone, contain gravel in sandstone, And grain size of gravel is smaller, the preferable lithologic member of rounding;Glutenite thick-layer section is the bottom of big set glutenite, based on cobblestone, Grain size of gravel is larger, rounding is poor, the lithologic member containing sandstone and mud stone in conglomerate.
In step 2, Core-Calibrated Logging curve refers to the lithology of the different depth of core observation and different depth Log goes to match, and solves the problems, such as more solutions of log lithologic interpretation.
In step 3, each bar log includes natural potential SP, natural gamma GR, resistivity RT, sound wave AC, density DEN, compensated neutron CN curves, each bar log are the caused different curves that log well using different methods, principle.
In step 4, sensitivity curve refers in natural potential SP, natural gamma GR, resistivity RT, sound wave AC, density In six kinds of DEN, compensated neutron CN curves curves, the curve of different lithology section feature can be reflected, natural potential SP, sound wave AC, Tri- curves of compensated neutron CN are the sensitivity curves for reflecting tri- sections of different lithologies of A, B, C.
In steps of 5, sound wave AC is less than 180, compensated neutron CN less than 6 and spontaneous potential curve section shale line is obvious Inclined particular segment carries out the rotation of baseline.
In steps of 5, baseline rotation is to rotate to the inclined shale line of particular segment on conventional shale line.
In step 6, shale line refers to that mud stone is exactly straight line substantially in spontaneous potential curve, and shale line substantially inclines Oblique particular segment refers to that conventional shale line is distributed on some graduation mark, but is distributed in particular segment shale line more Between individual graduation mark.
In step 6, the reconstruct of logging character curve is on the basis of the rotation of particular segment shale line, carries out conventional section Connected with the curve of particular segment, form the log of full well section, mud stone folder flagstone section, gravelly sand rock and mud stone can be reflected Mutual interval, glutenite thick-layer section, the reservoir inversion for glutenite.
Logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging in the present invention, in geological layering number On the basis of, based on Core-Calibrated Logging, with reference to sound wave and compensated neutron curve, using spontaneous potential curve as main comprehensive analysis Differentiate, pass through the shale line rotation reconstruct logging character curve of particular segment, it is therefore an objective to glutenite will be covered greatly on indicatrix It is divided into mud stone folder flagstone section(A sections), gravelly sand rock and the mutual interval of mud stone(B sections), glutenite thick-layer section(C sections).The present invention In processing method compared with conventional method, in sandy gravel materials refutation process, by sand-conglomerate body based on drilling core graduation survey The logging character curve of well(SPC)Reconstructing method, curve Reconstruction is carried out, solves the difficulty that measured curve can not characterize reservoir characteristic Topic, ensure the precision of sand-conglomerate body reservoir inversion, really improve the quality of sand-conglomerate body reservoir inversion.
Brief description of the drawings
Fig. 1 is a specific reality of logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging of the present invention Apply the flow chart of example;
Fig. 2 is the comprehensive logging figure of coring well;
Fig. 3 is sand-conglomerate body logging character curve map;
Fig. 4 is measured curve lithology statistical chart;
Fig. 5 is sand-conglomerate body logging character curve lithology statistical chart.
Embodiment
For enable the present invention above and other objects, features and advantages become apparent, it is cited below particularly go out preferable implementation Example, and coordinate institute's accompanying drawings, it is described in detail below.
As shown in figure 1, Fig. 1 is logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging of the present invention Flow chart.
In step 101, with reference to individual-layer data, the system core observation of coring well is carried out, it is thin that coring section is divided into mud stone folder Layer Sandstone Section(A sections), gravelly sand rock and the mutual interval of mud stone(B sections), glutenite thick-layer section(C sections), as shown in Figure 2.
Geological layering refers to that system core observation is to see by the different depth imparting geologic different time concept of well section The most long well of coring section is examined, to see that mud stone presss from both sides flagstone section on rock core(A sections), gravelly sand rock and the mutual interval of mud stone(B Section), glutenite thick-layer section(C sections).
Mud stone presss from both sides flagstone section(A sections)It is the top of big set glutenite, based on mud stone, accompanies a small amount of sandstone therebetween Lithologic member.
Gravelly sand rock and the mutual interval of mud stone(B sections)It is the middle part of big set glutenite, based on sandstone, gravel is contained in sandstone, And grain size of gravel is smaller, the preferable lithologic member of rounding.
Conglomerate thick-layer section(C sections)It is the bottom of big set glutenite, based on cobblestone, grain size of gravel is larger, rounding is poor, Lithologic member containing sandstone and mud stone in conglomerate.Flow enters step 102.
In step 102, Core-Calibrated Logging curve is carried out with the achievement of core observation, analysis, will be bent only by well logging Tri- sections of A, B, C that line can not be marked accurately, by the method for Core-Calibrated Logging, tri- sections of A, B, C is marked off on log.
Core-Calibrated Logging curve refers to be gone with the lithology of the different depth of core observation and the log of different depth Matching, solves the problems, such as more solutions of log lithologic interpretation.Flow enters step 103.
In step 103, comprehensive analysis natural potential SP, natural gamma GR, resistivity RT, sound wave AC, density DEN, compensation The feature of each bar logs of neutron CN, find tri- sections of features in each bar curve of A, B, C.
Natural potential SP, natural gamma GR, resistivity RT, sound wave AC, density DEN, compensated neutron CN curves are using not The caused different curves that log well of method together, principle.Flow enters step 104.
In step 104, it is reflection A, B, C that analysis shows, which only have tri- natural potential SP, sound wave AC, compensated neutron CN curves, The sensitivity curve of three sections of different lithologies.
Sensitivity curve refers in natural potential SP, natural gamma GR, resistivity RT, sound wave AC, density DEN, compensated neutron In six kinds of curves of CN curves, compare the curve that can reflect different lithology section feature.Flow enters step 105.
In step 105, sound wave AC is less than 180, compensated neutron CN less than 6 and spontaneous potential curve section shale line is obvious Inclined particular segment carries out the rotation of baseline.
Baseline rotation is to rotate to the inclined shale line of particular segment on conventional shale line.Flow enters step 106。
In step 106, on the basis of the rotation of particular segment shale line, the reconstruct of full well section logging character curve is carried out.
Shale line refers to that mud stone is exactly straight line substantially in spontaneous potential curve, is referred to as shale line by this straight line. Substantially inclined particular segment refers to that conventional shale line is distributed on some graduation mark to shale line, but in particular segment mud Batholith line is distributed between multiple graduation marks.
The reconstruct of logging character curve is on the basis of the rotation of particular segment shale line, carries out conventional section and particular segment Curve connects, and forms the log of full well section, can reflect that mud stone presss from both sides flagstone section(A sections), gravelly sand rock and mud stone alternating layers Section(B sections), glutenite thick-layer section(C sections), the reservoir inversion for glutenite.Flow terminates.
Fig. 3 is sand-conglomerate body logging character curve map, and SP is spontaneous potential curve, and SPC is the nature after baseline rotation Potential curve.A sections are mainly mud stone, and SP curves are almost straight line, referred to as shale line;B sections are mud stone and sandstone alternating layers Section;C sections are Conglomerate Section.After the SP curves of A sections are carried out baseline rotation, Sandstone Section and Conglomerate Section can obtain good area Point.
Fig. 4 is measured curve lithology statistical chart, and before baseline rotation, the interval transit time of sandstone and conglomerate overlaps, It can not distinguish.Fig. 5 is sand-conglomerate body logging character curve lithology statistical chart, after baseline rotation, during the sound wave of sandstone and conglomerate Difference can be good at being distinguished.

Claims (10)

1. logging character curve Reconstruction method of the sand-conglomerate body based on Core-Calibrated Logging, it is characterised in that the sand-conglomerate body base Include in the logging character curve Reconstruction method of Core-Calibrated Logging:
Step 1, with reference to individual-layer data, carry out the system core observation of coring well, by coring section be divided into mud stone folder flagstone section, Gravelly sand rock and the mutual interval of mud stone, glutenite thick-layer section;
Step 2, Core-Calibrated Logging curve is carried out with the achievement of core observation, analysis, by the method for Core-Calibrated Logging, Mud stone folder flagstone section, gravelly sand rock and the mutual interval of mud stone, three sections of glutenite thick-layer section are marked off on log;
Step 3, the feature of each bar log of comprehensive analysis, searching mud stone folder flagstone section, gravelly sand rock and the mutual interval of mud stone, Three sections of features in each bar curve of glutenite thick-layer section;
Step 4, three sections of reflection mud stone folder flagstone section, gravelly sand rock interval mutual from mud stone, glutenite thick-layer section different rocks are found The sensitivity curve of property;
Step 5, by shale line in sensitivity curve, substantially inclined particular segment carries out the rotation of baseline;And
Step 6, on the basis of the rotation of particular segment shale line, the reconstruct of full well section logging character curve is carried out.
2. logging character curve Reconstruction method of the sand-conglomerate body according to claim 1 based on Core-Calibrated Logging, it is special Sign is that in step 1, geological layering refers to assign the different depth of well section to geologic different time concept, System Rock Heart observation is to observe the most long well of coring section, to see mud stone folder flagstone section, gravelly sand rock and mud stone alternating layers on rock core Section, glutenite thick-layer section.
3. logging character curve Reconstruction method of the sand-conglomerate body according to claim 1 based on Core-Calibrated Logging, it is special Sign is that in step 1, mud stone folder flagstone section is the top of big set glutenite, based on mud stone, accompanies a small amount of sand therebetween The lithologic member of rock;Gravelly sand rock and the middle part that the mutual interval of mud stone is big set glutenite, based on sandstone, contain gravel in sandstone, and Grain size of gravel is smaller, the preferable lithologic member of rounding;Glutenite thick-layer section is the bottom of big set glutenite, based on cobblestone, gravel Stone particle diameter is larger, rounding is poor, the lithologic member containing sandstone and mud stone in conglomerate.
4. logging character curve Reconstruction method of the sand-conglomerate body according to claim 1 based on Core-Calibrated Logging, it is special Sign is that in step 2, Core-Calibrated Logging curve refers to the lithology of different depth and the survey of different depth with core observation Well curve goes to match, and solves the problems, such as more solutions of log lithologic interpretation.
5. logging character curve Reconstruction method of the sand-conglomerate body according to claim 1 based on Core-Calibrated Logging, it is special Sign is that in step 3, each bar log includes natural potential SP, natural gamma GR, resistivity RT, sound wave AC, density DEN, compensated neutron CN curves, each bar log are the caused different curves that log well using different methods, principle.
6. logging character curve Reconstruction method of the sand-conglomerate body according to claim 5 based on Core-Calibrated Logging, it is special Sign is that in step 4, sensitivity curve refers in natural potential SP, natural gamma GR, resistivity RT, sound wave AC, density In six kinds of DEN, compensated neutron CN curves curves, the curve of different lithology section feature can be reflected, natural potential SP, sound wave AC, Tri- curves of compensated neutron CN are to reflect that mud stone folder flagstone section, gravelly sand rock interval mutual from mud stone, glutenite thick-layer section are different The sensitivity curve of lithologic member.
7. logging character curve Reconstruction method of the sand-conglomerate body according to claim 6 based on Core-Calibrated Logging, it is special Sign is, in steps of 5, sound wave AC is less than into 180, compensated neutron CN less than 6 and spontaneous potential curve section shale line is obvious Inclined particular segment carries out the rotation of baseline.
8. logging character curve Reconstruction method of the sand-conglomerate body according to claim 1 based on Core-Calibrated Logging, it is special Sign is that in steps of 5, baseline rotation is to rotate to the inclined shale line of particular segment on conventional shale line.
9. logging character curve Reconstruction method of the sand-conglomerate body according to claim 1 based on Core-Calibrated Logging, it is special Sign is that in step 6, shale line refers to that mud stone is exactly straight line substantially in spontaneous potential curve, and shale line substantially inclines Oblique particular segment refers to that conventional shale line is distributed on some graduation mark, but is distributed in particular segment shale line more Between individual graduation mark.
10. logging character curve Reconstruction method of the sand-conglomerate body according to claim 1 based on Core-Calibrated Logging, it is special Sign is that in step 6, the reconstruct of logging character curve is on the basis of the rotation of particular segment shale line, carries out conventional section Connected with the curve of particular segment, form the log of full well section, mud stone folder flagstone section, gravelly sand rock and mud stone can be reflected Mutual interval, glutenite thick-layer section, the reservoir inversion for glutenite.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5233568A (en) * 1991-06-28 1993-08-03 Atlantic Richfield Company Geopressure analysis system
CN103711482A (en) * 2014-01-06 2014-04-09 山东科技大学 Method for quickly identifying clastic rock reservoir based on two well log overlapped picture
CN103993871A (en) * 2014-05-08 2014-08-20 中国石油化工股份有限公司 Method and device for processing well logging information of thin interbed stratums in standardization mode
CN104295293A (en) * 2014-10-23 2015-01-21 中国石油天然气股份有限公司 Method for obtaining logging density curve

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5233568A (en) * 1991-06-28 1993-08-03 Atlantic Richfield Company Geopressure analysis system
CN103711482A (en) * 2014-01-06 2014-04-09 山东科技大学 Method for quickly identifying clastic rock reservoir based on two well log overlapped picture
CN103993871A (en) * 2014-05-08 2014-08-20 中国石油化工股份有限公司 Method and device for processing well logging information of thin interbed stratums in standardization mode
CN104295293A (en) * 2014-10-23 2015-01-21 中国石油天然气股份有限公司 Method for obtaining logging density curve

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
深层砂砾岩储层测井精细评价;陈钢花 等;《海洋石油》;20100630;第30卷(第2期);第82-86页 *

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