According to large-scale exploration and development in Triassic Baikouquan formation, Mahu,
Xinjiang Oilfield. Many industrial oil and gas flow, oil and gas reservoirs have been found,
which are controlled by many factors and have a variety of reservoir types. Through the
research of this project, the reservoir productivity characteristics in Mahu area are
clarified, the wellhead production is predicted, drainage and mining system and production
seeking technology are optimized, the accurate oil test is realized, and the real reservoir
productivity is evaluated, which provides a reliable basis for the calculation of
exploration and development reserves. Through the data collation and analysis of the
reservoir test wells in the target block, the productivity characteristics are predicted,
which provides the basis for the optimization of the drainage and production system and the
reasonable selection of the subsequent test wells.
The seepage partial differential equation with simultaneous
variation of flow rate and pressure is established, and the charts under different
geological models and boundary conditions are given. Through the actual data processing, the
data analysis method of low permeability pressure drop is formed.
After the parameters such as permeability and fracture
half-length are obtained by pressure recovery well testing analysis, the equation is
dimensionless, and the flow solution in Laplace space is obtained by Laplace transformation,
and the production decline is predicted.
A mathematical model for swabbing production and test of non-blow
wells is established, and the productivity prediction method of pumping wells is formed.
A set of variable pressure and variable flow well testing and
productivity prediction software has been developed. Through the interpretation and
application of more than 10 wells, the pressure history fitting and prediction, as well as
flow and accumulation curve fitting and productivity prediction, can be well carried out,
and the effective combination of theoretical research, software development and production
application can be realized.
By collecting and sorting up the data of reservoir test wells in the target block,
summarizing and studying, combining the reservoir logging and testing data, the project
finds out the rules of capacity of different types of reservoirs at different stages of
fluid withdrawal and trial production. In combination with the theoretical research of well
testing, a reasonable pressure and yield decrease analysis model is established to predict
the production capacity characteristics, so as to provide basis for the optimization of
subsequent well production system and reasonable process selection, to realize rapid and
safe oil testing, complete the exploration of the target area, evaluate the reserve task,
and increase the market competitiveness.
