Method and device for prediction while drilling of gas reservoir output

Abstract

The invention belongs to the technical field of oil and gas exploration and development, and particularly relates to a method and device for prediction while drilling of gas reservoir output. The method for prediction while drilling of the gas reservoir output, namely the natural gas output, comprises the steps of establishing a gas reservoir output prediction model according to gas reservoir dataof a drilled well; predicting the gas reservoir output of a drilling well according to the established gas reservoir output prediction model through the gas reservoir data of the drilling well; and analyzing the potential capacity of the drilling well. The device for prediction while drilling of the gas reservoir output comprises a prediction model establishing module and a prediction analysis module. The natural gas content in broken rock is recovered through the drilling data, logging data and the like, the recoverable gas content index is figured out, and on this basis, the well natural gas output is predicted according to the total volume of a reservoir stratum within the gas production radius range. The method can be applied to assessment of the overall mining potential of the natural gas drilling well and a gas reservoir in the development stage and provides a basis for completion program design and gas production engineering ground construction.

Description

technical field [0001] The invention belongs to the field of exploration and development of oil and natural gas, and in particular relates to a method and a device for predicting gas layer production while drilling. Background technique [0002] Gas logging is a mud logging method that uses a gas detection system or detects and analyzes the content of hydrocarbon gases separated from drilling fluid through a drilling fluid degasser at a certain period of time. The gas measurement value is the continuous detection of the hydrocarbon gas content in the drilling fluid by the gas logging equipment according to a certain analysis period. It reflects the gas content in the pores of the broken rock per unit time, and is the earliest and most intuitive reflection of the gas layer production. [0003] At present, there are several traditional production capacity evaluation methods: the analytical method mainly uses highly abstract physical models, and calculates through the law of de...

AI Technical Summary

Problems solved by technology

Disadvantages: This method mainly assumes that the formation is homogeneous and the fluid is single-phase seepage, and is generally performed after obtaining well data

Disadvantages: This method lacks a reasonable geological model, and requires abundant reservoir, fluid, and dynamic data as support, and there are many evaluation parameters involved in the simulation, which are difficult to obtain in the early stage of development

[0005] The physical simulation method is closer to the real reservoir, can intuitively understand the productivity of the reservoir, the distribution of fluid potential and seepage field, and optimize the parameters of fractures and horizontal wells, but for the productivity evaluation under complex formations and unsteady conditions There are certain difficulties, and at the same time, the requirements for experimental conditions and data mastery are higher than numerical simulation methods. At present, only a few researchers in China use physical simulation methods to evaluate

[0006] There are many similar production capacity forecasting methods, but the calculation requires many parameters, and they are all theoretical models and indirect data. The calculation is cumbersome and involves many links.

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