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Method for predicting volcanic rock facies

A prediction method and technology for volcanic rocks, which can be applied in measurement devices, geophysical measurements, seismology, etc., can solve problems such as difficult to distinguish changes in volcanic rock lithofacies, and achieve the effects of improving prediction accuracy, improving pertinence, and achieving good results.

Inactive Publication Date: 2017-05-24
PETROCHINA CO LTD
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Problems solved by technology

Therefore, the prediction of the spatial distribution of volcanic rocks still needs the help of seismic prediction methods. Seismic attribute prediction is one of the methods. However, it is difficult to distinguish the changes of volcanic rock lithofacies with conventional single seismic attribute analysis. Combined Earthquake Prediction Method

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  • Method for predicting volcanic rock facies
  • Method for predicting volcanic rock facies
  • Method for predicting volcanic rock facies

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Embodiment 1

[0046] as attached figure 1 As shown, firstly, according to the logging data of typical wells, the velocity of volcanic rock is 3330-4167 m / s, and the thickness is 30-85 meters. Based on the thickness and velocity of volcanic rocks in all typical wells and the drilling conditions of overlying and underlying surrounding rock formations, the forward modeling models of several typical wells were established (such as figure 1 a). The Ricker wavelet of 20 Hz is selected to obtain seismic reflection records through forward modeling simulation ( figure 1 b), through the seismic reflection record with the actual well bypass ( figure 1 c) Compared and combined with the amplitude and frequency attributes calculated by the model ( figure 1 d) The seismic reflection characteristics of different volcanic lithofacies can be analyzed. Through comparison, it can be found that the seismic reflection characteristics of high-quality thick-bed effusive facies volcanic rocks such as Well Z1508...

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Abstract

The invention relates to a method for predicting volcanic rock facies, and relates to the technical field of petroleum exploitation reservoir engineering. The method comprises the following steps: (1) forward modeling, (2) seismic attribute extraction, (3) attribute optimization, (4) volcanic rock facies classification, (5) multi-attribute neural network pattern recognition and (6) rock facies prediction, wherein in the step of forward modeling, profile forward modeling is performed on the basis of seismic geologic horizon calibration; in the step of seismic attribute extraction, horizon-oriented seismic attributes are extracted in allusion to a target horizon, and an attribute time window range is determined; in the step of attribute optimization, seismic attributes reflecting volcanic rock distribution are optimized, and preprocessing is performed; in the step of volcanic rock facies classification, category classification is performed on the volcanic rock facies according to a well drilling result; and in the step of rock facies prediction, a plurality of seismic attributes are fused according to neural network parameters acquired by training, and a distribution variation law of the volcanic rock facies in an unknown area is predicted. The prediction method provided by the invention fuses multiple seismic attributes and well drilling information, overcomes the defect that a single seismic attribute only partially reflects the lithological combination difference, and can effectively predict spatial distribution of the volcanic rock facies.

Description

technical field [0001] The invention relates to the technical field of petroleum exploration and development geophysics, more specifically, the invention relates to a prediction method of volcanic rock facies. Background technique [0002] In recent years, with the deepening of oil and gas exploration in unconventional reservoirs, volcanic rocks have gradually become a new research hotspot in reservoir prediction. Volcanic oil and gas reservoirs are very complex. Volcanic rock oil and gas reservoirs were first discovered in the United States in 1987. So far, volcanic rock oil and gas reserves in the world are mainly concentrated in the United States, Russia, Cuba and some countries in Eastern Europe. In recent years, China has begun to pay more attention to volcanic rock oil and gas reservoirs, and certain reserves have been explored successively. Dagang Oilfield has also been discovered, but the overall exploration and development and related research are still in the prep...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/307G01V2210/63G01V2210/667
Inventor 祝文亮熊金良郭淑文岳云福邢兴国春香李冰曹宏涛祝必兴彭雪梅
Owner PETROCHINA CO LTD
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