A method for effectively quantifying multi-zone reservoir potential

Abstract

The application discloses a kind of multi-region reservoir potential effective quantification evaluation methods, it includes the following steps: step 1, on the basis of interpretive achievement data, respectively using DSG Seismic Attribute Generation module and OpenGS Openinversion module of module calculation relative amplitude data body and relative wave impedance data body, and carry out construction smoothing;Step 2, in combination with well data, main fracture characteristics and reservoir attribute, in the region of reservoir target obvious and well data, reservoir and T74 layer relative amplitude and relative wave impedance inversion ratio plane calculation and point position statistics are carried out;Step 3, using EXCEL to calculate the ratio between reservoir and T74 layer, and draw the ratio trend chart between the two layers in the study area.The application can intuitively and effectively find out the distribution of the study area reservoir, which solves the problem of previous reservoirs being limited to qualitative analysis and cannot be quantified, breaks the status quo of previous qualitative analysis of reservoir evaluation parameters, and is simple to operate and has strong popularization.

Description

TECHNICAL FIELD

[0001] The present application relates to a kind of multi-region reservoir potential effective quantification evaluation method, belong to petroleum exploration technical field. BACKGROUND

[0002] In petroleum geology exploration work, reservoir evaluation is an important link, and reliable reservoir evaluation directly affects the later exploration and development work, and effective reservoir evaluation can continuously improve drilling efficiency and recovery. In oil exploration, there are many factors affecting oil reservoir prediction and evaluation, including porosity, permeability, shale content, etc. In the past, comprehensive analysis and evaluation of various physical parameters and properties of reservoir targets are needed, and various influencing factors are evaluated in different ways, including diagenetic characteristics and reservoir characteristics. The evaluation results are mainly qualitative analysis, which is not intuitive and difficult to ensure the accuracy of the comprehensive evaluation results.

[0003] Traditional reservoir prediction generally uses regional geological characterization methods. On seismic, it mainly uses one or more reservoir-related attribute parameters for qualitative analysis, and roughly judges the reservoir potential of several regions according to the attribute plane. The prediction method is often limited to one surface, and the data of different regions differ greatly, making it difficult to maintain color scale uniformity in reservoir parameter and attribute analysis. It often needs to adjust the color scale subjectively, which is not intuitive, time-consuming and has multiple solutions. In addition, traditional reservoir prediction methods require high technical skills and cannot meet the needs of intuitive and effective quantitative evaluation of reservoir targets.

[0004] Currently, some exploration areas, such as Y area (Mushen 1 well area), contain multiple three-dimensional work areas. The Ordovician fractured and fracture-cave type reservoirs are developed in the area, and comprehensive analysis shows that the area has good oil and gas exploration prospects. However, due to the diversity of carbonate reservoir porosity types and the complexity of pore structure, and due to the limitations of seismic data quality, seismic resolution, and processing and interpretation technology, the imaging is not clear enough, the fracture dissolution body is not accurately described, and the reservoir prediction is relatively low, resulting in incomplete seismic identification mode of large-scale reservoirs, low fluid identification accuracy, and restriction of further development in the area. In addition, the data quality of different regions differs greatly, and the Ordovician reservoir has strong anisotropy in vertical and horizontal directions. It is difficult to extract reservoir target-related parameters for reservoir prediction and evaluation between different three-dimensional work areas, because the seismic result data attributes and evaluation parameters differ greatly between different three-dimensional work areas. Reservoir prediction and evaluation are directly related to the later trap analysis and well placement. At present, there is a lack of effective quantitative reservoir prediction and evaluation method for similar multiple three-dimensional work areas, and a new method for effective quantitative evaluation of reservoir potential in the whole area is urgently needed to clarify the reservoir distribution rule and provide reliable data and technical support for the later target optimization. SUMMARY

[0005] The present application aims to provide a multi-region reservoir potential effective quantitative evaluation method, which directly displays the proportional relationship and regional variation trend chart between the reservoir and the T74 layer based on the ratio of the relative amplitude and the relative wave impedance of the reservoir and the stable work area, can quickly quantify the reservoir potential of the research area, especially the region with more well data, can combine the longitudinal reliable well data and the horizontally extended seismic data together for quantitative evaluation, the evaluation result is consistent with the well data, and the operation is simple and has strong popularization.

[0006] To achieve the above object, the technical scheme adopted by the present application is as follows:

[0007] A multi-region reservoir potential effective quantitative evaluation method, comprising the following steps:

[0008] Step 1, on the basis of the interpreted result data, the relative amplitude data body and the relative wave impedance data body are calculated by using the Seismic Attribute Generation module of DSG and the Openinversion module of OpenGS respectively, and structure smoothing is performed;

[0009] Step 2, in combination with the well data, the main fault characteristics and the reservoir properties, the relative amplitude and the relative wave impedance inversion ratio plane of the reservoir and the T74 layer are calculated and the point position statistics are performed in the region where the reservoir target is obvious and the well data are available;

[0010] Step 3, the ratio between the reservoir and the T74 layer is calculated by using EXCEL, and the trend chart of the ratio between the reservoir and the T74 layer in the research area is drawn.

[0011] Further, the specific steps of step 1 are as follows:

[0012] Step 1.1, the structure smoothing of the research area seismic result data body is performed by using the Structure Filter function module of DSG, the background noise and random interference are weakened, and the reservoir target is highlighted;

[0013] Step 1.2, the relative amplitude of the structure-smoothed result data body is calculated by using the Seismic Attribute Generation function module of DSG, the time range and the sampling rate time window calculation parameters are 4-6s and 15 respectively, the relative amplitude attribute body of the research area is obtained, and the authenticity of the research area reservoir target and the integrity of the regional rule are ensured;

[0014] Step 1.3, in combination with the well data and the main fault zone characteristics of the research area, the relative wave impedance inversion of the structure-smoothed seismic result data is performed by using the Openinversion module of OpenGS, and the relative wave impedance data body of the research area is obtained.

[0015] Further, the specific steps of step 2 are as follows:

[0016] Step 2.1, in combination with well data, main fracture characteristics and reservoir properties, on the relative amplitude body, the relative amplitude value is extracted by using DSG maximum energy absolute value, wherein the T74 standard layer, the extraction time window size is 74 up and down 20ms, the reservoir time window size is extracted as T75-T76, the standard layer and the reservoir target are consistent in the longitudinal direction, and the extracted value is tabulated in combination with the plane profile characteristics;

[0017] Step 2.2, in combination with well data, main fracture characteristics and reservoir properties, on the relative wave impedance attribute body, the relative wave impedance value is extracted by using OpenGS Openinversion, wherein the T74 standard layer, the extraction time window size is 74 up and down 20ms, the reservoir time window size is extracted as T75-T76, the standard layer and the reservoir target are consistent in the longitudinal direction, and the extracted value is tabulated in combination with the plane profile characteristics.

[0018] Further, the specific steps of step 3 are as follows:

[0019] Step 3.1, the statistical data of relative amplitude and relative wave impedance are subjected to abnormal value processing and data arrangement by using EXCEL;

[0020] Step 3.2, the reservoir relative amplitude and relative wave impedance values in the statistical data table are respectively divided by the energy and wave impedance values of the T74 standard layer, and the relative amplitude and relative wave impedance ratios are respectively obtained;

[0021] Step 3.3, the data are arranged in combination with well data and main fracture characteristics, and the relative amplitude and relative wave impedance ratio trend lines are drawn.

[0022] The beneficial effects of the present application are: the method of the present application obtains the amplitude and frequency ratio between the reservoir target fracture-cave body and the T74 stable reflection layer, quantifies the amplitude and wave impedance relationship between the reservoir and the non-reservoir, and draws a quantitative trend line, so that the distribution rule of the reservoir in the research area can be intuitively and effectively checked. The method solves the problem that the previous reservoir is only limited to qualitative analysis and cannot be quantified, breaks the status quo that only qualitative analysis of reservoir evaluation parameters can be used, and has the advantages of simple operation and strong popularization. The improvement and popularization of the method can effectively predict and quantitatively evaluate the reservoir potential of the research area, which is helpful for fast and efficient reservoir evaluation in the region with fast rolling exploration process, provides strong technical support for the selection of exploration targets and the optimization of well site deployment, and has very important significance for the orderly rolling development of the whole oilfield, and has a broad prospect.

[0023] Additional aspects and advantages of the application will be in part apparent and in part pointed out hereinafter. Attached Figure Description

[0024] Figure 1 This is a flowchart of an effective quantitative evaluation method for reservoir potential;

[0025] Figure 2 It is a planar map of the target attributes of the reservoir in the study area;

[0026] Figure 3 It is a planar statistical map of the target attributes of the reservoir in the study area (with main faults added);

[0027] Figure 4 It is a combined profile of the reservoir target attributes in the study area (including main fractures and well locations);

[0028] Figure 5 It is a planar map of the target wave impedance inversion properties of the reservoir in the study area (including the main fracture and well location);

[0029] Figure 6 These are typical profiles of reservoir targets in the study area and profiles of wave impedance inversion attributes;

[0030] Figure 7 This is a trend chart (relative amplitude) of reservoir potential at different well locations in Zone J (Mucan 2 well area);

[0031] Figure 8 This is a reservoir potential trend diagram (relative wave impedance) at different well locations in Zone J (Mucan 2 well area);

[0032] Figure 9 This is a trend chart of the relative amplitude ratio between reservoirs and T74 in different areas of the YS area (Mucan 3 well area);

[0033] Figure 10 This is a plan view showing the relative amplitude ratios of reservoirs in different areas of the YS zone (Mucan 3 well area) with T74. Detailed Implementation

[0034] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0035] like Figure 1 As shown, the present invention provides an effective quantitative evaluation method for multi-region reservoir potential, the steps of which are as follows:

[0036] Step 1: Based on the interpretive data, the relative amplitude data volume and relative acoustic impedance data volume are calculated using DSG's Seismic Attribute Generation and OpenGS (OpenInversion platform for seismic geological exploration), respectively, and structural smoothing is then performed. Specifically:

[0037] 1. Using the Structure Filter function module of DSG to smooth the structure of the seismic data volume in the study area, weaken the background noise and random interference, and highlight the reservoir target.

[0038] 2. Using the Seismic Attribute Generation function module of DSG to calculate the relative amplitude of the smoothed seismic data volume, and the time range and sampling rate time window calculation parameters are 4-6s and 15 respectively, to obtain the relative amplitude attribute volume of the study area, focusing on ensuring the authenticity of the reservoir target and the integrity of the regional regularity.

[0039] 3. Combined with well data and the characteristics of the main fault zone, using the Openinversion module of OpenGS to perform relative wave impedance inversion on the smoothed seismic data, to obtain the relative wave impedance data volume of the study area.

[0040] Step 2, combined with well data, main fault characteristics and reservoir attributes, calculate and point statistics of relative amplitude and relative wave impedance inversion ratio plane of reservoir and T74 layer in the area where reservoir target is obvious and well data. Specifically:

[0041] 1. Combined with well data, main fault characteristics and reservoir attributes, on the relative amplitude volume, use DSG maximum energy absolute value to extract relative amplitude value, where T74 standard layer, the extraction time window size is 74 up and down 20ms, and the reservoir time window size extraction is T75-T76. The standard layer and the reservoir target remain consistent in the vertical direction, combined with the characteristics of the plane profile, the extracted values are tabulated. Figures 2-4

[0042] 2. Combined with well data, main fault characteristics and reservoir attributes, on the relative wave impedance attribute volume, use Openinversion of OpenGS to extract relative wave impedance value, where T74 standard layer, the extraction time window size is 74 up and down 20ms, and the reservoir time window size extraction is T75-T76. The standard layer and the reservoir target remain consistent in the vertical direction, and combined with the characteristics of the plane profile, the extracted values are tabulated. Figures 5-6

[0043] Step 3, use EXCEL to calculate the ratio between reservoir and T74 layer, and draw the trend chart of the ratio between reservoir and T74 layer in the study area. Specifically:

[0044] 1. Use EXCEL to perform outlier processing and data arrangement on the relative amplitude and relative wave impedance statistical data.

[0045] ​​2, respectively, the relative amplitude and relative wave impedance values in the statistical data table are divided by the T74 standard layer energy and wave impedance values, and the relative amplitude and relative wave impedance ratios are obtained, as shown in Table 1:

[0046] Table 1 Seismic characteristics, reservoirs and T74 layer relative amplitude and relative wave impedance ratio statistics of part of well sites in the study area

[0047] Well Yes Peak-trough configuration Standard string Relative amplitude ratio Relative wave impedance ratio Y1 No 2 peaks 3 troughs No 1.9 0.25 Y2 No 1 peak 1 trough No 0.21 0.92 Y3 No 1 peak 1 trough No 0.22 0.73 Y4 No 2 peaks 2 troughs Yes 0.34 0.66 Y5 No 1 peak 2 troughs Yes 0.63 0.47 Y6 Y1 2 peaks 2 troughs Yes 0.44 0.65 Y7 No 2 peaks 2 troughs No 0.90 0.32 Y8 No 2 peaks 1 trough No 0.33 0.81 Y9 No 2 peaks 1 trough No 0.85 0.35 Y10 No 3 peaks 3 troughs Yes 0.68 0.45 Y11 No 1 peak 1 trough No 0.62 0.51 Y12 No 2 peaks 1 trough No 0.48 0.62 Y13 No 2 peaks 1 trough No 0.22 0.87 Y14 No 2 peaks 2 troughs No 0.60 0.63

[0048] 3, combined with well data and main fault characteristics, the data are arranged, and the relative amplitude and relative wave impedance ratio trend lines are drawn (and Figure 7 and Figure 8 ).

[0049] In summary, whether the reservoir evaluation is reliable directly affects the later development and recovery rate, and effective reservoir evaluation can continuously improve the development and recovery rate, can scientifically guide the exploration and development work, and improve the drilling efficiency. The multi-region reservoir potential effective quantitative evaluation method of the application is adopted, the ratio of the reservoir and the T74 standard layer is calculated, the trend graph between the two is drawn, the reservoir target evaluation can be directly and effectively performed, the time is shortened to 1 / 12 of the original, the reservoir evaluation result is accurate and reliable, and the operation is simple, the popularization is strong, and it has very important significance. Figure 9 The relative amplitude ratio trend graph of the reservoir potential effective quantitative evaluation new method of the application is drawn in the YS area, from which it can be seen that the reservoir target in the study area is closely related to the regional geological conditions, the relative amplitude gradually decreases from west to east, and the reservoir potential gradually weakens; the size and activity intensity of the main fault have a great influence on the reservoir target, the reservoir potential of F1 and F3 with large main fault size and long extension length is large, and the reservoir potential of F2 and F4 with small main fault size and short extension length is relatively small. Figure 10 The relative amplitude ratio plan view of the work area, combined with the actual seismic data and well data of multiple three-dimensional in the study area, verifies the authenticity and reliability of the rule, and the application effect is obvious, which provides technical support for the later exploration and development of multiple three-dimensional in the area.

[0050] The above shows and describes the basic principles, main features and advantages of the application. It should be understood by those skilled in the art that the above examples do not limit the protection scope of the application in any form, and any technical solutions obtained by equivalent substitution or the like fall within the protection scope of the application.

[0051] The parts not involved in the application are the same as or can be realized by using the prior art.

Claims

1. A method for effective quantitative evaluation of reservoir potential in multiple zones, characterized by The method comprises the following steps: Step 1, on the basis of the interpretative result data, relative amplitude data volume and relative wave impedance data volume are calculated respectively by using the Seismic Attribute Generation module of DSG and the Openinversion module of OpenGS, and structural smoothing is performed; Step 2, in combination with well data, main fault features and reservoir properties, relative amplitude and relative wave impedance inversion ratio planes of reservoir and T74 layer are calculated and point statistics are performed in the area where reservoir targets are obvious and well data are available; the specific steps are as follows: Step 2.1, in combination with well data, main fault features and reservoir properties, relative amplitude values are extracted from the relative amplitude volume by using the maximum energy absolute value of DSG, wherein the T74 standard layer, the time window size for extraction is 74 upper and lower 20 ms, the reservoir time window size for extraction is T75-T76, the standard layer and the reservoir target are kept consistent in the vertical direction, and the extracted values are tabulated in combination with the plane profile features; Step 2.2, in combination with well data, main fault features and reservoir properties, relative wave impedance values are extracted from the relative wave impedance attribute volume by using the Openinversion of OpenGS, wherein the T74 standard layer, the time window size for extraction is 74 upper and lower 20 ms, the reservoir time window size for extraction is T75-T76, the standard layer and the reservoir target are kept consistent in the vertical direction, and the extracted values are tabulated in combination with the plane profile features; Step 3, the ratio between the reservoir and the T74 layer is calculated by using EXCEL, and a trend graph of the ratio between the reservoir and the T74 layer in the study area is drawn.

2. The method for quantitatively evaluating the potential of a multi-zone reservoir according to claim 1, characterized by, The specific steps of the step 1 are as follows: Step 1.1, the structural smoothing of the seismic result data volume in the study area is performed by using the Structure Filter function module of DSG, background noise and random interference are weakened, and the reservoir target is highlighted; Step 1.2, the relative amplitude calculation is performed on the result data volume after structural smoothing by using the Seismic Attribute Generation function module of DSG, the relative amplitude attribute volume in the study area is obtained, and the authenticity of the reservoir target in the study area and the integrity of the regional rules are mainly ensured; Step 1.3, in combination with well data and main fault zone features in the study area, the relative wave impedance inversion is performed on the seismic result data after structural smoothing by using the Openinversion module of OpenGS, and the relative wave impedance data volume in the study area is obtained.

3. The method for quantitatively evaluating the potential of a multi-zone reservoir according to claim 2, characterized by, In the step 1.2, when the relative amplitude calculation is performed, the time range and the sampling rate time window calculation parameters are 4-6s and 15 respectively.

4. The method for quantitatively evaluating the potential of a multi-zone reservoir according to claim 1, characterized by, The specific steps of the step 3 are as follows: Step 3.1, the abnormal value processing and data arrangement are performed on the relative amplitude and relative wave impedance statistical data by using EXCEL; Step 3.2, the relative amplitude and relative wave impedance values in the statistical data table are divided by the T74 standard layer energy and wave impedance values respectively, and the relative amplitude and relative wave impedance ratios are obtained respectively; Step 3.3, the data are arranged in combination with well data and main fault features, and the relative amplitude and relative wave impedance ratio trend lines are drawn.

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