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Mud leakage risk assessment method and device

A risk assessment and leakage technology, applied in the field of mud leakage, which can solve problems such as mud leakage

Pending Publication Date: 2021-02-26
北京孚梅森石油科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the distance traveled by the well trajectory in the fracture development zone increases, the risk of mud loss will greatly increase. However, the current qualitative and non-differential fault and fracture evaluation methods cannot meet the needs of actual exploration. How to realize the mud loss risk in the fault development zone Quantitative evaluation is a difficult problem faced by oil and gas exploration and development at the present stage. This invention aims to form a mud leakage risk assessment method and device

Method used

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  • Mud leakage risk assessment method and device
  • Mud leakage risk assessment method and device

Examples

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Effect test

Embodiment 1

[0098] Quantitative prediction of fractures at different scales and identification of high-risk leakage areas.

[0099] During the drilling of shale gas horizontal wells in a fault-developed block, 20% of the wells experienced varying degrees of lost circulation. It is an urgent problem to be solved in exploration and production to evaluate the development degree of fractures in this area and to complete the risk assessment of lost circulation. The main frequency of the target layer is 35Hz, the layer speed is about 4000m / s, λ / 4≈28m, λ / 8≈14m. For the data volume used, when the longitudinal extension length is ≥ 28 meters, the characteristics of seismic dislocation are obvious, the fracture is mainly controlled by the fault, and the leakage mainly occurs along the fault plane. The fold curvature (camber) in this area varies from 0.002 to 0.045; for areas with curvature >0.006, large-scale curvature properties are easy to detect. This kind of structural fractures is mainly cont...

Embodiment 2

[0102] Optimal well placement and fracturing design for horizontal wells.

[0103] The third-order fault development zone is the most favorable target area for shale oil and gas exploration at the present stage. Through the prediction of different scale faults, the determination of the third-order fault development zone has important reference significance for optimizing well location deployment and subsequent fracturing segmentation. In this study, pre-stack wave dynamics properties (amplitude, frequency, absorption attenuation, etc.) are used to predict three-level fractures in the direction of horizontal well trajectory. The average number of coverage in the work area is 89, and the distribution is uneven, and the southeast is obviously higher than other areas, which has a certain impact on the accuracy of fracture research. The distribution of near-medium and far offset information is relatively complete, and the information of mid-to-far offset is more; the azimuth inform...

Embodiment 3

[0106] Mud loss risk assessment device, the embodiment of the present invention also provides a mud loss risk assessment device, such as Image 6 Shown, which is a schematic diagram of the structure of the device, by Image 6 It can be seen that the device includes a seismic fault resolution analysis module 11, a seismic attribute extraction module 12, a seismic attribute grid processing module 13, a fault description module 14, a fault filtering and superposition module 15, and a leakage classification and evaluation module 16 connected in sequence. . Among them, the functions of each module are as follows:

[0107] The seismic fracture resolution analysis module 11 is used to determine the velocity information of the stratum by using the acoustic wave time difference data, and combine the seismic frequency information to calculate the fracture identification resolution of the seismic data used;

[0108] The seismic attribute extraction module 12 extracts corresponding attr...

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Abstract

The invention relates to the technical field of oil exploration and development, in particular to the technical field of mud leakage risk assessment methods and devices. The method comprises the following steps: 1) extracting pre-stack and post-stack seismic data volume frequency information, calculating the extension length resolution of a used data volume for a fault-fracture system, and respectively extracting post-stack coherence isogeometric attributes, high-precision curvature along the layer and pre-stack fluctuation mechanical attributes; 2) respectively meshing post-stack coherence geometric attributes, high-precision curvature attributes along the layer and pre-stack fluctuation mechanical attributes, normalizing attribute data, and gradually describing a fracture crack distribution profile by using a conditional clustering method; and 3) overlapping a distribution diagram of which the fracture longitudinal extension length is greater than lambda / 4, a fracture distribution diagram of which the longitudinal extension length is between lambda / 8 lambda / 4, and a fracture distribution diagram of which the longitudinal extension length is less than lambda / 8. The invention aimsto provide the mud leakage risk assessment method and device, and provide feasible technical support for oil and gas exploration and development.

Description

technical field [0001] The invention relates to the field of mud loss, in particular to a mud loss risk assessment method and device. Background technique [0002] Mud loss is a common downhole accident in the drilling process. The loss will not only increase the consumption of mud, but also cause accidents such as hole collapse, block loss, drill sticking, and buried drill in serious cases. Carry out risk assessment of mud loss in the exploration target area before drilling , avoiding high-risk leakage areas is an effective way to reduce the probability of such accidents. Rock formation faults and fracture development zones are the main causes of mud loss and accidents. At present, the main method for fracture prediction is to use seismic coherence, curvature, ant body tracking and other attributes to carry out qualitative evaluation. This method can distinguish fractures to a certain extent. However, the boundary between the two is fuzzy, and the quantitative evaluation o...

Claims

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Application Information

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IPC IPC(8): G01V1/28G01V1/30G01V1/40
CPCG01V1/28G01V1/301G01V1/306G01V1/303G01V1/40G01V2210/6161G01V2210/6169G01V2210/6222G01V2210/642
Inventor 唐显春代春萌夏淑华吴英
Owner 北京孚梅森石油科技有限公司
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