CN105301647B - The method for distinguishing grey matter mud stone and sandstone - Google Patents
The method for distinguishing grey matter mud stone and sandstone Download PDFInfo
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- CN105301647B CN105301647B CN201410254060.6A CN201410254060A CN105301647B CN 105301647 B CN105301647 B CN 105301647B CN 201410254060 A CN201410254060 A CN 201410254060A CN 105301647 B CN105301647 B CN 105301647B
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Abstract
The method of a kind of method for distinguishing grey matter mud stone and sandstone of present invention offer, the differentiation grey matter mud stone and sandstone includes：Step 1, Stratigraphic framework during foundation etc.；Step 2, on the basis of chronostratigraphic architecture is established, Sparse Pulse wave impedance inversion is carried out, obtains the Wave Impedance Data Volume with higher lateral continuity；Step 3, preferred, the correction of sensitivity curve are carried out；And step 4, using the sensitivity curve preferably gone out, the parameter probabilistic model with higher longitudinal frame is obtained by variogram analysis.The method of the differentiation grey matter mud stone and sandstone is using macro-view cognitions such as geology, drilling wells as guidance, using log as starting point, using corresponding reservoir prediction means as instrument, improves reservoir prediction precision.
Description
Technical field
The present invention relates to oil field prospecting technical field, especially relates to a kind of method for distinguishing grey matter mud stone and sandstone.
Background technology
Reservoir prediction relates generally to amplitude, frequency generic attribute, and conventional method for predicting reservoir includes RMS amplitude, always shaken
Width, arc length, frequency dividing explanation, average reflection intensity, energy half decay time etc..By a series of contrast of the method for reservoir predictions, divide
Analysis finds that it can not effectively distinguish grey matter mud stone and sandstone, and being primarily due to grey matter mud stone has and sandstone（It is pebbly sandstone, thin
Sandstone, siltstone）Similar AC, DEN, GR value.The not accuracy of reservoir prediction, greatly reduces exploration success ratio, have impact on
Exploration progress.
Respectively there is the problem of grey matter mud stone influences reservoir prediction precision, Shengli Oil Field physical prospecting research institute in depression to Jiyang depression
It is triumphant et al. in woods to develop section seismic data dominant frequency by counting grey matter mud stone, the frequency dividing data volume of corresponding frequencies is extracted, it is then sharp
With the data volume it is determined that when window in using amplitude generic attribute grey matter mud stone areal extent is predicted, and then remove
The purpose that grey matter mud stone influences, but being limited in that for this method, are only capable of predicting the development scope of grey matter mud stone, are going ash disposal
While matter mud stone, the sandstone as effective reservoir is also got rid of in the lump, belongs to a kind of method for predicting reservoir of sxemiquantitative, no
The spread of reservoir can be accurately reflected.
Area Shu Gao degrees of prospecting area, geological knowledge and real brill abundant information are studied, can by existing drilling well and geological analysis
Identify grey matter mud stone major developmental region, can effectively be solved the problem of macroscopic aspect.In the situation of current fine granularing scalability
Under, how from microcosmic effective influence for removing grey matter mud stone to reservoir prediction, find the construction-lithology for being available for probing, lithology oil
Hiding turns into key.For this we have invented a kind of method of new differentiation grey matter mud stone and sandstone, solves above technical problem.
The content of the invention
It is an object of the invention to provide a kind of method for distinguishing grey matter mud stone and sandstone, by analyzing grey matter mud stone and sandstone
Between difference, distinguish grey matter mud stone and sandstone, improve the precision of reservoir prediction.
The purpose of the present invention can be achieved by the following technical measures：The method for distinguishing grey matter mud stone and sandstone, the differentiation
The method of grey matter mud stone and sandstone includes：Step 1, Stratigraphic framework during foundation etc.；Step 2, chronostratigraphic architecture is being established
On the basis of, Sparse Pulse wave impedance inversion is carried out, obtains the Wave Impedance Data Volume with higher lateral continuity；Step 3, carry out
Preferred, the correction of sensitivity curve；And step 4, using the sensitivity curve preferably gone out, obtained by variogram analysis have compared with
The parameter probabilistic model of high longitudinal frame.
The purpose of the present invention can be also achieved by the following technical measures：
In step 1, on the basis of Fine structural interpretation T4, T5 index bed, using the relative theory of strata slicing, system is passed through
Each sand group proportion is counted, builds each Sha Zudi circle, and then establishes the chronostratigraphic architecture of each sand group.
In step 3, for the lithology of significantly more efficient differentiation grey matter mud stone and sandstone, the preferred of log is carried out,
Easily taken according to practicality, the clear and definite principle of geological meaning, by analyzing, contrasting selection shale content curve, shale content curve energy
Enough accurately distinguish grey matter mud stone and sandstone.
In step 4, using the sensitivity curve preferably gone out, appropriate variogram model is selected by models fitting,
In the spatial feature base for analyzing reservoir, analyze to obtain the parameter probability with higher longitudinal frame by variogram
Model
The method of the differentiation grey matter mud stone and sandstone also includes, after step 4, by Wave Impedance Data Volume and parameter probability
Model carries out well shake Combined Treatment, obtains both having higher lateral continuity, the reservoir prediction with higher longitudinal frame
Data volume.
The method of differentiation grey matter mud stone and sandstone in the present invention, by analyzing the feature of log, selecting being capable of area
Divide grey matter mud stone, the sensitivity curve of sandstone, using the relative theory of geostatistics, utilize the reservoir based on earthquake collaborative modeling
Characterization technique, improve the precision of reservoir prediction.Grey matter mud stone and sandstone can be effectively distinguished, improves the precision of reservoir prediction, is met
The needs of fine granularing scalability.
Accompanying drawing table explanation
Fig. 1 be the present invention differentiation grey matter mud stone and sandstone method a specific embodiment flow chart；
Fig. 2 is the log response characteristics figure of a well different lithology；
Fig. 3 is sandstone and grey matter mud stone AC curve comparison figures；
Fig. 4 is sandstone and grey matter mud stone DEN curve comparison figures；
Fig. 5 is sandstone, mud stone and grey matter mud stone GR curve comparison figures；
Fig. 6 is sandstone, mud stone and grey matter mud stone SH curve comparison figures；
Fig. 7 is the schematic diagram of research area's prediction result（5 sand group stochastic inverse reservoir prediction figures）.
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, flow charts of the Fig. 1 for the method for differentiation grey matter mud stone and sandstone of the invention.
Stratigraphic framework in step 101, foundation etc.；On the basis of Fine structural interpretation T4, T5 index bed, cut using stratum
The relative theory of piece, by ratio in sand three shared by each sand group in counting husky three, each Sha Zudi circle is built, and then establish each sand
The chronostratigraphic architecture (table 1) of group.
In the sand three of table 1（Stratum between T4~T5）Each sand group formation thickness statistical form
Flow enters step 102.
In step 102, from seismic data, on the basis of chronostratigraphic architecture is established（Step 101）, carry out sparse
Pulse wave impedance inversion, obtain the Wave Impedance Data Volume with higher lateral continuity.Flow enters step 103.
In step 103, preferred, the correction of sensitivity curve.Due to being influenceed by rock composition, section, plane contrast are found
Grey matter mud stone has more similar density, speed and GR values (Fig. 2~Fig. 5) to sandstone, and two kinds are distinguished in order to significantly more efficient
Lithology is, it is necessary to it is preferred that log.Log preferably should in line with practicality easily take, geological meaning is clearly principle, by divide
Analysis, contrast think that shale content curve can accurately distinguish grey matter mud stone and sandstone (Fig. 6).Flow enters step 104.
In step 104, using the preferable sensitivity curve of step 103, appropriate variogram mould is selected by models fitting
Type, in the spatial feature base of analysis reservoir, analyze to obtain the ginseng with higher longitudinal frame by variogram
Number probabilistic model.Flow enters step 105.
In step 105, the data volume that step 102 and step 104 are obtained carries out well shake Combined Treatment, obtain both having compared with
High lateral continuity, there is the reservoir prediction data volume of higher longitudinal frame again（Fig. 7）, grey matter mud stone shadow is removed so as to reach
Ring, improve the purpose of reservoir prediction precision.Flow terminates.
Claims (1)
1. distinguish the method for grey matter mud stone and sandstone, it is characterised in that the method for the differentiation grey matter mud stone and sandstone includes：
Step 1, Stratigraphic framework during foundation etc.；
Step 2, on the basis of chronostratigraphic architecture is established, Sparse Pulse wave impedance inversion is carried out, obtains that there is higher transverse direction
Successional Wave Impedance Data Volume；
Step 3, preferred, the correction of sensitivity curve are carried out；And
Step 4, using the sensitivity curve preferably gone out, it is general that the parameter with higher longitudinal frame is obtained by variogram analysis
Rate model；
In step 1, it is each by counting using the relative theory of strata slicing on the basis of Fine structural interpretation T4, T5 index bed
Sand group proportion, builds each Sha Zudi circle, and then establishes the chronostratigraphic architecture of each sand group；
In step 3, for the lithology of significantly more efficient differentiation grey matter mud stone and sandstone, the preferred of log is carried out, according to
Practicality easily takes, the clear and definite principle of geological meaning, and by analyzing, contrasting selection shale content curve, shale content curve can be accurate
Really distinguish grey matter mud stone and sandstone；
In step 4, using the sensitivity curve preferably gone out, appropriate variogram model is selected by models fitting, is being analyzed
In the spatial feature base of reservoir, analyze to obtain the parameter probability mould with higher longitudinal frame by variogram
Type；After step 4, Wave Impedance Data Volume and parameter probabilistic model are subjected to well shake Combined Treatment, obtain both having compared with Gao Heng
To continuity, there is the reservoir prediction data volume of higher longitudinal frame again.
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| CN107339099B (en) * | 2017-07-19 | 2020-06-09 | 中国石油天然气集团公司 | Method and device for determining reservoir lithology |
| CN109387873A (en) * | 2017-08-04 | 2019-02-26 | 中国石油化工股份有限公司 | A kind of fracture and cave reservoir inversion method and system |
| CN107977483B (en) * | 2017-10-30 | 2021-01-29 | 中国石油天然气股份有限公司 | Method for predicting distribution of sand shale |
| CN108873064B (en) * | 2018-03-29 | 2020-06-09 | 中国石油天然气股份有限公司 | Establishment method and system of lithofacies probability distribution model |
| CN109061752B (en) * | 2018-06-26 | 2020-01-17 | 西南石油大学 | Resistivity curve correction method for ash-containing texture layer |
| CN110821496B (en) * | 2019-10-17 | 2021-06-29 | 中国石油天然气集团有限公司 | Organic shale phase mode establishing method and organic shale evaluation method |
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