CN112684512A - River channel identification method - Google Patents
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Abstract
The invention belongs to the technical field of oil-gas geology, and particularly provides a river channel identification method, which comprises the steps of analyzing and processing the numerical value of the sand body thickness of a target sand layer, screening out the main direction of a river channel, then carrying out variance calculation on the sand body thickness data at the well point of a target area according to the unit length of the main direction of the river channel, screening out data with large variance for analysis, carrying out fine river channel carving in combination with the main direction of the river channel, carrying out classification statistics on the sand body purity in the carved river channel, comprehensively carving a single-period single river channel in combination with a fine river channel carving picture, and finishing final carving of the river channel; the method solves the problems that geological mapping methods are generally adopted for river channel division, only the main direction can be determined, and detailed description of the river channel cannot be realized.
Description
Technical Field
The invention belongs to the technical field of oil-gas geology, and particularly relates to a river channel identification method.
Background
Geological mapping methods are generally adopted for river channel division at home and abroad, and only the main direction can be determined, but the detailed description of the river channel cannot be realized. Meanwhile, the main direction may have little guiding significance for small block development, but the river direction is still adopted, which is a catastrophic error for single sand body modeling. The river channel form is artificially determined, the randomness is too large, and different geological workers have different river channel orientations for a single river channel during drawing, so that geological research is neither standard nor accurate; the method for artificially determining the river channel is more rough and is not enough to guide the development work of the sandstone gas reservoir in a small area; for different blocks and different layers, an executable standard is required to identify the river channel, and then river channel carving is carried out.
At present, river channel identification is carried out manually according to the characteristics of blocks in China, which is too subjective, has no unified standard and is inaccurate. Therefore, improvements are urgently needed for river channel identification methods of various regions and various horizons.
Disclosure of Invention
The river channel identification method provided by the invention aims to solve the problems that in the prior art, geological mapping methods are generally adopted for river channel division, only the main direction can be determined, and detailed description of the river channel cannot be realized; the second purpose is to overcome the problems that the river channel identification is carried out manually according to the characteristics of the blocks in the prior art, the river channel identification is too subjective, and the river channel identification is not provided with a unified standard and is not accurate.
Therefore, the invention provides a river channel identification method,
1) carrying out probability analysis and pretreatment on the sand body thickness plane numerical value of the target sand layer, removing part of data, and screening out the main direction of the river channel by analyzing the effective sand body thickness data, wherein the rest is effective sand body thickness data; the partial data is data surrounded by a sand body thickness value of 0 value;
2) carrying out variance calculation on the sand body thickness data at the well point of the target area;
3) comparing the variance values obtained in the step 2), screening out data with large variance for analysis, and finely depicting the river channel by combining with the main direction of the river channel;
4) carrying out classified statistics on the sand body purity in the riverway depicted in the step 3);
5) and 4) according to the classification statistical result of the step 4), comprehensively depicting a single-period single river channel by combining with the fine river channel carving picture, and finishing the final river channel carving picture.
Further, the step 1) of performing probability analysis and pretreatment on the sand body thickness plane value of the target sand layer is to analyze and process an expected value of the sand body thickness value.
Further, the method for analyzing and processing the expected value of the sand body thickness value comprises the following steps: when the sand body thickness value is larger than the expected value of 0.9 times, the sand body thickness value is used as effective data of the sand body thickness; when the sand thickness value is less than the expected value of 0.9 times, the sand thickness value needs to be deleted.
Further, the method for screening out the main direction of the river channel by analyzing the effective data of the sand body thickness comprises the following steps: and analyzing the effective data of the sand body thickness, finding out the numerical values of the sand body thickness with high value and the three first-ranked digits, and sequentially connecting the numerical values from high to low to form a broken-line river channel, namely the main direction of the river channel.
Further, the variance calculation in the step 2) is carried out according to the unit length of the main direction of the river channel, and the variance calculation is carried out on the sand body thickness data at the well point of the target area.
Further, the data with large variance in step 3) is data with variance larger than 50.
Further, in the step 4), the sand body purity value is PS ═ GR × 5/N, GR is a gamma value, PS is the sand body purity value, N is the number of data points in the certain section of sand body thickness, the interlayer in the middle of the section of sand body is not more than 0.4m, and such weighted average value is the purity value.
Further, the method for depicting a single-stage single river channel in the step 5) comprises the following steps: defining a river channel indicated value, identifying all river channel indicated values on a river channel fine-drawing graph, then carrying out difference value calculation on river channel indicated value data, taking the direction with the minimum difference value as a main direction, then connecting the river channel indicated value data according to the adjacent relation along the main direction, and connecting a non-crossed line, namely the main river channel at the stage.
Further, in the step 5), the river channel indicated value R is Hi × Ps, R is the river channel indicated value, Hi is the sand thickness weighted value, and Ps is the sand purity value.
Further, the step 5) of calculating the difference value of the river channel indicating value data requires that the river channel indicating value data is calculated by the difference values in four directions of 0 degree, 45 degrees, 90 degrees and 135 degrees.
The invention has the beneficial effects that: the river channel identification method provided by the invention comprises the steps of analyzing and processing the numerical value of the sand body thickness of a target sand layer, screening out the main direction of a river channel, then carrying out variance calculation on the sand body thickness data at the well point of a target area according to the unit length of the main direction of the river channel, screening out data with large variance for analysis, carrying out fine river channel carving in combination with the main direction of the river channel, carrying out classification statistics on the sand body purity in the carved river channel, comprehensively carving a single-period single river channel in combination with a fine river channel carving diagram, and finishing final river channel carving; a set of method suitable for river channel identification is established, a practical, reliable, accurate, objective and strong-operability identification method is formed, the method is better in effect when being applied to the east of the Ordos basin for more than half a year, the problems that the river channel identification is carried out manually according to the characteristics of blocks, the river channel identification is too subjective, no unified standard exists, and inaccuracy is caused are solved, the method can determine the main direction of the river channel, meanwhile, the detail part of the river channel can be described, the reliability and the accuracy are high, and the objectivity and the operability are high.
Drawings
The present invention will be described in further detail below with reference to the accompanying drawings.
FIG. 1 is a plane numerical distribution diagram of the thickness of a sand body in example 2;
FIG. 2 is a plane numerical distribution diagram of the sand thickness after data removal in FIG. 1;
FIG. 3 is a main channel pattern;
FIG. 4 is a fine drawing of a river channel;
fig. 5 is a final drawing of the river.
Detailed Description
Example 1:
a river channel identification method comprises the following steps:
1) carrying out probability analysis and pretreatment on the sand body thickness plane numerical value of the target sand layer, removing part of data, and screening out the main direction of the river channel by analyzing the effective sand body thickness data, wherein the rest is effective sand body thickness data; the partial data is data surrounded by a sand body thickness value of 0 value;
2) carrying out variance calculation on the sand body thickness data at the well point of the target area;
3) comparing the variance values obtained in the step 2), screening out data with large variance for analysis, and finely depicting the river channel by combining with the main direction of the river channel;
4) carrying out classified statistics on the sand body purity in the riverway depicted in the step 3);
5) and 4) according to the classification statistical result of the step 4), comprehensively depicting a single-period single river channel by combining with the fine river channel carving picture, and finishing the final river channel carving picture.
The method is applied to eastern parts of Ordos basin for more than half a year, and overcomes the problems that the river channel identification is carried out manually according to the characteristics of blocks, the river channel identification is too subjective, no uniform standard exists, and the river channel identification is inaccurate.
Further, the step 1) of performing probability analysis and pretreatment on the sand body thickness plane value of the target sand layer is to analyze and process an expected value of the sand body thickness value. The expected value is obtained as e (x) ═ H1+H2+……+Hn) H is the sand thickness, E (X) is the desired value.
Further, the method for analyzing and processing the expected value of the sand body thickness value comprises the following steps: when the sand body thickness value is larger than the expected value of 0.9 times, the sand body thickness value is used as effective data of the sand body thickness; when the sand thickness value is less than the expected value of 0.9 times, the sand thickness value needs to be deleted.
Further, the method for screening out the main direction of the river channel by analyzing the effective data of the sand body thickness comprises the following steps: and analyzing the effective data of the sand body thickness, finding out the numerical values of the sand body thickness with high value and the three first-ranked digits, and sequentially connecting the numerical values from high to low to form a broken-line river channel, namely the main direction of the river channel.
Further, the variance calculation in the step 2) is carried out according to the unit length of the main direction of the river channel, and the variance calculation is carried out on the sand body thickness data at the well point of the target area.
Further, the data with large variance in step 3) is data with variance larger than 50. Data with variance less than 50 can be regarded as that the river channel direction between data points is unchanged, the data points are classified into one class and can be deleted, and the direction value of the main direction of the river channel represents the direction of the data points; for data with variance greater than 50, representing large changes in the river at this point, careful delineation is required; marking all the data points, analyzing the data points independently, and depicting the river channel; and these sand values H9 ═ Hi, Hi are defined as the sand thickness weight values.
Further, in the step 4), the sand body purity value is PS ═ GR × 5/N, GR is a gamma value, GR is data measured during logging, PS is the sand body purity value, N is the number of data points in the certain section of sand body thickness, the interlayer in the certain section of sand body is not greater than 0.4m, and such weighted average value is the purity value.
Further, the method for depicting a single-stage single river channel in the step 5) comprises the following steps: defining a river channel indicated value, identifying all river channel indicated values on a river channel fine-drawing graph, then carrying out difference value calculation on river channel indicated value data, taking the direction with the minimum difference value as a main direction, then connecting the river channel indicated value data according to the adjacent relation along the main direction, and connecting a non-crossed line, namely the main river channel at the stage.
Further, in the step 5), the river channel indicated value R is Hi × Ps, R is the river channel indicated value, Hi is the weight value of the sand body thickness, and Ps is the sand body purity value.
Further, the difference value calculation of the river channel indication value data in the step 5) requires difference value calculation of the river channel indication value data in four directions of 0 degree, 45 degrees, 90 degrees and 135 degrees.
Example 2:
the invention will now be described in more detail with reference to the depiction of the river in the east of the Ordos basin.
1) FIG. 1 is a plot of sand thickness values plotted against a geological map, wherein the data surrounded by 0 values is removed because sand is not considered to be present, and the plot of sand thickness values plotted against the removed data is shown in FIG. 2; ,
2) obtaining an expected value e (x) ═ H for all sand thickness values in the target region (see table 1)1+H2+ … … + Hn)/n is 7.976, accurate to one bit, 8;
TABLE 1 Sand body thickness effective data average value statistical table
3) Taking the data larger than 0.9E (X) as effective data, removing other sand body thickness data, and not taking the data as effective river channel sand body data, as shown in table 2 and figure 3.
Table 2 statistics table for sand thickness data after secondary elimination
4) The sand body thickness is subjected to plane distribution data to find out a thickness peak value 26 and the first three positions 26, 23 and 22 of the sand body thickness value high value, and the first three positions 26, 23 and 22 of the high value are sequentially connected to form a broken line-shaped river channel which is the approximate trend of the main river channel, namely the main direction of the river channel.
And (3) solving the sand body thickness data at each well point according to the unit length variance of the main direction of the river channel:
(26+23+22)/3 ═ 23.7, 23.7 as the variance basis, and then the variance of each data was determined as shown in table 3 below:
TABLE 3 variance finding Table
| Serial number | Thickness of sand body | Base value | Sand thickness-average value | Square of (sand thickness-average value) |
| 1 | 23 | 23.7 | -0.7 | 0.49 |
| 2 | 20 | 23.7 | -3.7 | 13.69 |
| 3 | 26 | 23.7 | 2.3 | 5.29 |
| 4 | 11 | 23.7 | -12.7 | 161.29 |
| 5 | 9 | 23.7 | -14.7 | 216.09 |
| 6 | 14 | 23.7 | -9.7 | 94.09 |
| 7 | 18 | 23.7 | -5.7 | 32.49 |
| 8 | 10 | 23.7 | -13.7 | 187.69 |
| 9 | 17 | 23.7 | -6.7 | 44.89 |
| 10 | 22 | 23.7 | -1.7 | 2.89 |
| 11 | 19 | 23.7 | -4.7 | 22.09 |
| 12 | 12 | 23.7 | -11.7 | 136.89 |
| 13 | 11 | 23.7 | -12.7 | 161.29 |
| 14 | 16 | 23.7 | -7.7 | 59.29 |
| 15 | 12 | 23.7 | -11.7 | 136.89 |
| 16 | 10 | 23.7 | -13.7 | 187.69 |
| 17 | 18 | 23.7 | -5.7 | 32.49 |
| 18 | 8 | 23.7 | -15.7 | 246.49 |
| 19 | 18 | 23.7 | -5.7 | 32.49 |
The variances in table 3 were compared, and the places with large variances were checked carefully, and the variances were found in the main direction under the control of the main direction of the river.
Data with variance less than 50 can be regarded as the river direction between data points is unchanged, the data points are classified into one group, can be deleted (see table 4), and the direction value of the main direction represents the direction.
TABLE 4 statistics table after the third data culling
For variance greater than 50, representing large changes in the channel at this point, the data points are all labeled and analyzed separately (see table 5) for channel characterization (see fig. 4). And these sand values H9 ═ Hi, Hi are defined as the sand thickness weight values.
TABLE 5Hi calculation Table
| Serial number | Sand thickness H | Hi |
| 1 | 11 | 99 |
| 2 | 9 | 81 |
| 3 | 14 | 126 |
| 4 | 10 | 90 |
| 5 | 12 | 108 |
| 6 | 11 | 99 |
| 7 | 16 | 144 |
| 8 | 12 | 108 |
| 9 | 10 | 90 |
| 10 | 8 | 72 |
Step 4
Classification and statistics of sand body purity in river (see Table 6)
Defining sand body purity value Ps ═ Gr 5/N
N is the number of data points in the thickness of a certain section of sand body, the interlayer in the middle of the section of sand body is not more than 0.4m, and the weighted average value is a purity value.
Table 6 sand body purity calculation table
| Serial number | Thickness of sand body | Hi | Gr mean value | Ps | Hi× |
| 1 | 11 | 99 | 41 | 205 | 20295 |
| 2 | 9 | 81 | 44 | 220 | 17820 |
| 3 | 14 | 126 | 38 | 190 | 23940 |
| 4 | 10 | 90 | 40 | 200 | 18000 |
| 5 | 12 | 108 | 39 | 195 | 21060 |
| 6 | 11 | 99 | 42 | 210 | 20790 |
| 7 | 16 | 144 | 36 | 180 | 25920 |
| 8 | 12 | 108 | 37 | 185 | 19980 |
| 9 | 10 | 90 | 39 | 195 | 17550 |
| 10 | 8 | 72 | 47 | 235 | 16920 |
Comprehensive single-stage single river channel
The river channel indicator value R ═ Hi × Ps is defined, and the product values are shown in table 5. All data values are marked on a plane, then difference values of four directions of 0 degree, 45 degrees, 90 degrees and 135 degrees are calculated on the data, and the direction with the minimum difference is taken as a main direction. And then, connecting the river channel indicated value data along the main direction according to an adjacent relation, wherein a non-crossed line is arranged at the joint, and the line is the main river channel of the current period (see fig. 5).
In the description of the present invention, it is to be understood that the terms "comprises" and "comprising," if any, are used in the sense of being interpreted as being based on the orientation or positional relationship shown in the drawings, and not as an indication or suggestion that the referenced device or element must have the particular orientation, configuration or operation in the particular orientation, and therefore the terms describing the positional relationship in the drawings are used for illustrative purposes only and are not to be construed as limiting the patent.
The above examples are merely illustrative of the present invention and should not be construed as limiting the scope of the invention, which is intended to be covered by the claims and any design similar or equivalent to the scope of the invention.
Claims (10)
1. A river channel identification method is characterized in that: the method comprises the following steps:
1) carrying out probability analysis and pretreatment on the sand body thickness plane numerical value of the target sand layer, removing part of data, and screening out the main direction of the river channel by analyzing the effective sand body thickness data, wherein the rest is effective sand body thickness data; the partial data is data surrounded by a sand body thickness value of 0 value;
2) carrying out variance calculation on the sand body thickness data at the well point of the target area;
3) comparing the variance values obtained in the step 2), screening out data with large variance for analysis, and finely depicting the river channel by combining with the main direction of the river channel;
4) carrying out classified statistics on the sand body purity in the riverway depicted in the step 3);
5) and 4) according to the classification statistical result of the step 4), comprehensively depicting a single-period single river channel by combining with the fine river channel carving picture, and finishing the final river channel carving picture.
2. The river channel identifying method according to claim 1, wherein: the step 1) of carrying out probability analysis and pretreatment on the sand body thickness plane numerical value of the target sand layer is to analyze and process the expected value of the sand body thickness value.
3. The river channel identifying method according to claim 2, wherein: the method for analyzing and processing the expected value of the sand body thickness value comprises the following steps: when the sand body thickness value is larger than the expected value of 0.9 times, the sand body thickness value is used as effective data of the sand body thickness; when the sand thickness value is less than the expected value of 0.9 times, the sand thickness value needs to be deleted.
4. The river channel identifying method according to claim 3, wherein: the method for screening out the main direction of the river channel by analyzing the effective data of the sand body thickness comprises the following steps: and analyzing the effective data of the sand body thickness, finding out the numerical values of the sand body thickness with high value and the three first-ranked digits, and sequentially connecting the numerical values from high to low to form a broken-line river channel, namely the main direction of the river channel.
5. The river channel identifying method according to claim 4, wherein: and 2) solving the variance, namely solving the variance of the sand body thickness data at the well point of the target area according to the unit length of the main direction of the river channel.
6. The river channel identifying method according to claim 5, wherein: the data with large variance in the step 3) is data with variance larger than 50.
7. The river channel identifying method according to claim 6, wherein: and 4) the sand body purity value in the step 4) is PS (GR) 5/N, Gr is a gamma value, PS is the sand body purity value, N is the number of data points in the certain section of sand body thickness, the interlayer in the middle of the section of sand body is not more than 0.4m, and the weighted average value is the purity value.
8. The river channel identifying method according to claim 6, wherein: the method for depicting the single-period single river channel in the step 5) comprises the following steps: defining a river channel indicated value, identifying all river channel indicated values on a river channel fine-drawing graph, then carrying out difference value calculation on river channel indicated value data, taking the direction with the minimum difference value as a main direction, then connecting the river channel indicated value data according to the adjacent relation along the main direction, and connecting a non-crossed line, namely the main river channel at the stage.
9. The river channel identifying method according to claim 8, wherein: and 5) a river channel indicated value R is Hi Ps, R is the river channel indicated value, Hi is the sand body thickness weighted value, and Ps is the sand body purity value.
10. The river channel identifying method according to claim 8, wherein: and 5) performing difference value calculation on the river channel indicating value data to request that the river channel indicating value data is subjected to difference value calculation in four directions of 0 degree, 45 degrees, 90 degrees and 135 degrees.
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