CN108072748A - A kind of method of the carbonate rock lithofacies characterization based on advantage lithology - Google Patents
A kind of method of the carbonate rock lithofacies characterization based on advantage lithology Download PDFInfo
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- CN108072748A CN108072748A CN201610972303.9A CN201610972303A CN108072748A CN 108072748 A CN108072748 A CN 108072748A CN 201610972303 A CN201610972303 A CN 201610972303A CN 108072748 A CN108072748 A CN 108072748A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
- G01V1/44—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
- G01V1/48—Processing data
- G01V1/50—Analysing data
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
- G01V2210/614—Synthetically generated data
Abstract
The present invention provides a kind of methods of the carbonate rock lithofacies characterization based on advantage lithology.This method includes：The appearing of collection research area target interval, bore log data, paleontological fossil, change data, with seismic data comparative analysis, research area target interval stratum finely divide and compare；High frequency sequence classification and correlation is carried out to research area's target interval, establishes high-resolution sequence layer structure；To appearing and each well core observation, description and classification in research area, lithology evolutionary series in research area's target interval are established；It to each well rock core, appears, seismic data, well logging and log data progress composite calibration, determines lithology combination feature, quantitatively divide advantage lithology；Individual well and lithofacies of appearing are divided and described using advantage lithology；Subdivision carbonate rock lithofacies successions figure is completed in isochronous stratigraphic framework, advantage lithofacies planar distribution figure is completed in sequence stratigraphic framework, completes the characterization of the carbonate rock lithofacies based on advantage lithology.
Description
Technical field
The present invention relates to a kind of methods of the carbonate rock lithofacies characterization based on advantage lithology, belong to oil, natural gas is surveyed
Visit development field.
Background technology
Lithofacies refer to the summation of all lithologic characters in sedimentary rock, including mineral composition, color, particle size distribution etc..Rock
It is mutually development at any time and the change of steric requirements and changes.The variation of lithofacies can be in terms of vertical and horizontal two
Observation and description.Same rock stratum phase transformation in the horizontal direction shows the difference of contemporaneity different regions physical geography condition,
Phase transformation on vertical rock stratum profile direction then reflects the transition of the physical geographic environment of areal different times.
Major basins in China oil-gas exploration early has been enter into the exploration epoch based on litho-stratigraphic reservoirs, depth of exploration
Gradually develop from middle-shallow layer to deep layer with ultra deep, reservoir is also extended to low porosity permeability sandstone, carbonate rock and volcanic rock, forefathers
The analysis and research such as organic geochemical, pore structure, resource potential are concentrated mainly on to carbonate rock research, lithofacies scrutiny is opposite
Less, more without the unified criteria for classifying, and the oil field geologic research of most of oil-gas bearing basins needs finer lithofacies
And sedimentary microfacies map, it is therefore necessary to establish corresponding splitting scheme, carry out lithofacies finely division and research, identify favourable rock
Combined and distribution.
The content of the invention
In order to solve the above-mentioned technical problem, it is an object of the invention to provide a kind of lithology classification method of carbonate rock,
This method realizes lithofacies finely division and description, and then make lithofacies vertical, horizontal spread graph using advantage lithology, to oil gas field
Exploration and development, which becomes more meticulous, provides strong support.
In order to realize above-mentioned technical purpose, the present invention provides a kind of carbonate rock lithofacies characterizations based on advantage lithology
Method, this method comprise the following steps：
The appearing of collection research area target interval, bore log data, paleontological fossil, change data, with seismic data pair
Than analysis, research area target interval stratum is divided and compared；
High frequency sequence classification and correlation is carried out to research area's target interval, establishes high-resolution sequence layer structure；
To research area's target interval appear and each well core observation, description and classification, establish research area's target interval in
Lithology evolutionary series；
It to each well rock core, appears, seismic data, well logging and log data progress composite calibration, determines lithology combination feature,
Quantitatively divide advantage lithology；
Individual well and the lithofacies appeared are divided and described using advantage lithology；
Subdivision carbonate rock lithofacies successions figure is completed in isochronous stratigraphic framework, is completed in sequence stratigraphic framework excellent
Gesture lithofacies planar distribution figure completes the characterization of the carbonate rock lithofacies based on advantage lithology.
Specific embodiment according to the present invention divides research area target interval stratum and is compared according to this field
Conventional means carry out.
The method of carbonate rock lithofacies characterization provided by the invention based on advantage lithology, it is preferable that studying area's target
When interval carries out high frequency sequence STRATIGRAPHIC DIVISION, further include and appear target interval is all and rock core is divided into six grades of sequence units,
Establish high-resolution sequence layer structure.
The method of carbonate rock lithofacies characterization provided by the invention based on advantage lithology, it is preferable that each well rock core, dew
It when head, seismic data, well logging and log data carry out composite calibration, with reference to well logging, well logging and seismic data, demarcates, knows each other
Feature under other different lithology feature, and establish corresponding template.
The method of carbonate rock lithofacies characterization provided by the invention based on advantage lithology, it is preferable that utilize advantage lithology
When individual well and lithofacies of appearing are divided and described, using three end member analysis charts, according to content ratio shared by three end members, carry out
Individual well and the division of advantage lithofacies and description for appearing quantitative.
The method of carbonate rock lithofacies characterization provided by the invention based on advantage lithology, it is preferable that three end member point
Three end members are respectively formation thickness, lithology thickness and lithology component in analysis figure.Above-mentioned three end members analysis chart is as shown in Figure 2.
The method of carbonate rock lithofacies characterization provided by the invention based on advantage lithology, at the less area of prospect pit, knot
A small number of individual well rock cores and measuring logging data, outcrop and seismic attribute abstraction data are closed, is compared with the template that maturation zone is established,
It predicts lithology, advantage lithology classification lithofacies is recycled, so as to establish lithofacies spread section and plan view.
The present invention based on advantage lithology carbonate rock lithofacies characterization method, make full use of advantage lithology division and
Determine, individual well appear lithofacies analysis, even well lithofacies analysis, lithofacies planar distribution figure the methods of step, be fast and accurately depicted
The three-dimensional spread and development law of carbonate rock lithofacies in sequence stratigraphic framework.
The method of the characterization of the carbonate rock lithofacies based on advantage lithology of the present invention focuses on " advantage " and " quantitative " two
Using drilling area, the description precision of field section lithofacies, carbonate in sequence stratigraphic framework can be fast and accurately depicted in aspect
The three-dimensional spread and development law of rock lithofacies promote the prediction of few wellblock lithofacies.
The area that particularly prospect pit is relatively fewer, data is more poor, the carbonate rock of the invention based on advantage lithology
The method of lithofacies characterization can give full play to objective materials and lithofacies pattern, have accuracy height, simple and fast advantage, realize
Lithofacies modeling is from qualitative to quantitative transformation.
Description of the drawings
Fig. 1 is the flow chart of the method for the characterization of the carbonate rock lithofacies based on advantage lithology of embodiment 1；
Fig. 2 is the structure diagram of the three end member analysis charts of the present invention；
Fig. 3 is the schematic diagram of three end member analysis charts of the carbonate rock lithofacies of embodiment 1；
Fig. 4 is the sequence stratigraphic framework figure of the target interval of embodiment 1；
Fig. 5 is the lithology evolutionary series figure of the target interval of embodiment 1.
Specific embodiment
In order to which technical characteristic, purpose and the advantageous effect to the present invention are more clearly understood, now to the skill of the present invention
Art scheme carry out it is described further below, but it is not intended that the present invention can practical range restriction.
Embodiment 1
A kind of method of the carbonate rock lithofacies characterization based on advantage lithology is present embodiments provided, concrete technology flow process is such as
Shown in Fig. 1, this method comprises the following steps：
Step S101：The appearing of collection research area target interval, bore log data, paleontological fossil, change data, with ground
Information contrast analysis is shaken, ensures data accuracy, and target interval earth-layer fine is divided and compared, it is believed that target interval can be with
It is divided into four sections；
Step S101：High frequency sequence classification and correlation is carried out to research area's target interval, establishes sequence stratigraphic framework,
As shown in Figure 4；
Step S103：Obtain to research area in appear and each well rock core lithology observation, description and classification, establish in target interval
Lithology evolutionary series, as shown in Figure 5；
Step S104：To each well rock core, appear, seismic data, well logging and log data composite calibration, determine lithology combination
Feature quantitatively divides advantage lithology, individual well and lithofacies of appearing is divided and described using advantage lithology；
Fringing tableland is analyzed using three end members, such as Fig. 3, it is (micro-) brilliant grey (cloud) according to three section member A- mud on axonometric projection
Rock, B- grainstones, evaporation-cloud rock proportion, it is quantitative to be segmented to carrying out individual well and the lithofacies appeared, it is divided into (micro-) the brilliant ash of mud
(cloud) lithofacies, grainstone phase, cloud matter-grainstone phase, grey matter particle cloud lithofacies, particle cloud lithofacies, evaporation-cloud lithofacies, tool
Body division is as shown in table 1.
Include Seismic reflection character and features of logging curve using various Lithofacies Types features, it is total to research area's lithologic character
Knot, wherein grainstone phase Seismic reflection character is：Mound shape, " bright spot " reflection, logging character are：GR curves are straight or relatively flat
Directly, DEN curves micro- tooth or more straight, the increase of CNL, AC curve.(micro-) brilliant grey (cloud) the lithofacies Seismic reflection character of mud is：It is flat
Row, sub- reflected in parallel, top strong reflection, logging character are：GR curve high-amplitudes are serrating, and porosity curve is more straight.Evaporation-
Cloud lithofacies Seismic reflection character is：" marble is strengthened " band, logging character are：GR curve shapes micro- tooth or more straight, hole
Line of writing music is straight.Cloud matter-grainstone phase Seismic reflection character is：Hillock shape inclined reflection, " bright spot " reflection, log are special
Sign：GR curves are more straight, the micro- tooth of DEN curves, the increase of CNL, AC curve.Grey matter particle cloud lithofacies Seismic reflection character is：Mound
Shape, " bright spot " anti-body, GR curves are more straight, and DEN curves are more straight, and CNL curves locally increase.Can respective mode be established with this
Plate, the area less to prospect pit are predicted.
Step S105：Individual well lithofacies successions figure and lithofacies plan view, completion durings layering completion etc. in sequence stratigraphic framework
The characterization of carbonate rock lithofacies based on advantage lithology, target interval major developmental rimmed carbonate platform depositional model.
Table 1
| Lithofacies | A/(B+C) | B/C |
| (micro-) brilliant grey (cloud) rock of mud | 1 ＜ A/ (B+C) | Arbitrary proportion |
| Grainstone phase | A/ (B+C) ＜ 1 | B/C ＜ 1/4 |
| Cloud matter-grainstone phase | A/ (B+C) ＜ 1 | 1/4 ＜ B/C ＜ 2/3 |
| Grey matter particle cloud lithofacies | A/ (B+C) ＜ 1 | 2/3 ＜ B/C ＜ 3/2 |
| Particle cloud lithofacies | A/ (B+C) ＜ 1 | 3/2 ＜ B/C ＜ 4 |
| Evaporation-cloud lithofacies | A/ (B+C) ＜ 1 | 4 ＜ B/C |
Above example illustrates that the method for the carbonate rock lithofacies characterization of the invention based on advantage lithology makes full use of
The division of advantage lithology and determine, individual well appear lithofacies analysis, even well lithofacies analysis, lithofacies planar distribution figure the methods of step,
The three-dimensional spread and development law of carbonate rock lithofacies in sequence stratigraphic framework is fast and accurately depicted, visitor can be given full play to
Sight data and lithofacies pattern have accuracy height, simple and fast advantage, realize lithofacies modeling and are turned from qualitative to quantitative
Become.
Claims (5)
- A kind of 1. method of the carbonate rock lithofacies characterization based on advantage lithology, which is characterized in that this method comprises the following steps：The appearing of collection research area target interval, bore log data, paleontological fossil, change data, with seismic data to score Analysis is divided and compared to research area target interval stratum；High frequency sequence classification and correlation is carried out to research area's target interval, establishes high-resolution sequence layer structure；To research area's target interval appear and each well core observation, description and classification, establish research area's target interval in lithology Evolutionary series；It to each well rock core, appears, seismic data, well logging and log data progress composite calibration, determines lithology combination feature, it is quantitative Division advantage lithology；Individual well and the lithofacies appeared are divided and described using advantage lithology；Subdivision carbonate rock lithofacies successions figure is completed in isochronous stratigraphic framework, advantage rock is completed in sequence stratigraphic framework Phase plane spread figure completes the characterization of the carbonate rock lithofacies based on advantage lithology.
- 2. the method for the carbonate rock lithofacies characterization according to claim 1 based on advantage lithology, which is characterized in that grinding When studying carefully area target interval and carrying out high frequency sequence STRATIGRAPHIC DIVISION, further include and appear target interval is all and rock core is divided into six grades of layers Sequence unit, establishes high-resolution sequence layer structure.
- 3. the method for the carbonate rock lithofacies characterization according to claim 1 based on advantage lithology, which is characterized in that each Well rock core is appeared, when seismic data, well logging and log data carry out composite calibration, with reference to well logging, well logging and seismic data, that This calibration, identifies the feature under different lithology feature, and establishes corresponding template.
- 4. the method for the carbonate rock lithofacies characterization according to claim 1 based on advantage lithology, which is characterized in that utilize When advantage lithology is divided and described to individual well and lithofacies of appearing, using three end member analysis charts, according to content shared by three end members Ratio carries out individual well and the advantage lithofacies for appearing quantitative division and description.
- 5. the method for the carbonate rock lithofacies characterization according to claim 4 based on advantage lithology, which is characterized in that described Three end members are respectively formation thickness, lithology thickness and lithology component in three end member analysis charts.
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Cited By (9)
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| CN108979631A (en) * | 2018-08-09 | 2018-12-11 | 中国石油天然气股份有限公司 | A kind of dolomite buried hill oil pool low-permeability layer finely characterizes method and apparatus |
| CN109447944A (en) * | 2018-09-21 | 2019-03-08 | 中国石油天然气股份有限公司 | The Lithofacies Identification method and system of carbonate rock |
| CN109613612A (en) * | 2018-12-19 | 2019-04-12 | 中国地质大学（北京） | A kind of carbonate rock particle beach meticulous depiction and prediction technique |
| CN110714745A (en) * | 2019-10-17 | 2020-01-21 | 中国石油集团长城钻探工程有限公司 | Shale gas horizontal well fracturing staged optimization method |
| CN110965999A (en) * | 2019-12-24 | 2020-04-07 | 中国石油集团渤海钻探工程有限公司 | Shale oil dominant lithology fine identification method |
| CN111381277A (en) * | 2018-12-27 | 2020-07-07 | 中国石油天然气股份有限公司 | Method and device for establishing carbonate rock isochronous stratum framework |
| CN111781330A (en) * | 2020-06-17 | 2020-10-16 | 中国地质大学（北京） | Research method of carbonate rock sedimentation cycle characteristics based on multiple outcrop points |
| CN113031102A (en) * | 2019-12-09 | 2021-06-25 | 中国石油大学(北京) | Lithofacies well logging identification method and device for carbonate reservoir and storage medium |
| CN114577693A (en) * | 2020-11-30 | 2022-06-03 | 中国石油天然气股份有限公司 | Shale reservoir determining method and device, computer equipment and storage medium |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108979631A (en) * | 2018-08-09 | 2018-12-11 | 中国石油天然气股份有限公司 | A kind of dolomite buried hill oil pool low-permeability layer finely characterizes method and apparatus |
| CN108979631B (en) * | 2018-08-09 | 2022-01-04 | 中国石油天然气股份有限公司 | Method and device for fine characterization of low-permeability layer of dolomite buried hill oil reservoir |
| CN109447944B (en) * | 2018-09-21 | 2020-08-11 | 中国石油天然气股份有限公司 | Lithofacies identification method and system for carbonate rock |
| CN109447944A (en) * | 2018-09-21 | 2019-03-08 | 中国石油天然气股份有限公司 | The Lithofacies Identification method and system of carbonate rock |
| CN109613612A (en) * | 2018-12-19 | 2019-04-12 | 中国地质大学（北京） | A kind of carbonate rock particle beach meticulous depiction and prediction technique |
| CN109613612B (en) * | 2018-12-19 | 2020-05-19 | 中国地质大学（北京） | Fine depicting and predicting method for carbonate rock particle beach |
| CN111381277A (en) * | 2018-12-27 | 2020-07-07 | 中国石油天然气股份有限公司 | Method and device for establishing carbonate rock isochronous stratum framework |
| CN110714745A (en) * | 2019-10-17 | 2020-01-21 | 中国石油集团长城钻探工程有限公司 | Shale gas horizontal well fracturing staged optimization method |
| CN113031102A (en) * | 2019-12-09 | 2021-06-25 | 中国石油大学(北京) | Lithofacies well logging identification method and device for carbonate reservoir and storage medium |
| CN110965999A (en) * | 2019-12-24 | 2020-04-07 | 中国石油集团渤海钻探工程有限公司 | Shale oil dominant lithology fine identification method |
| CN110965999B (en) * | 2019-12-24 | 2022-04-12 | 中国石油集团渤海钻探工程有限公司 | Shale oil dominant lithology fine identification method |
| CN111781330A (en) * | 2020-06-17 | 2020-10-16 | 中国地质大学（北京） | Research method of carbonate rock sedimentation cycle characteristics based on multiple outcrop points |
| CN114577693A (en) * | 2020-11-30 | 2022-06-03 | 中国石油天然气股份有限公司 | Shale reservoir determining method and device, computer equipment and storage medium |
| CN114577693B (en) * | 2020-11-30 | 2023-10-27 | 中国石油天然气股份有限公司 | Shale reservoir determination method, shale reservoir determination device, computer equipment and storage medium |
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