Chengong well test analysis system V8.0 collected the conventional oil and gas well test, low
permeability oil and gas reservoir, condensate gas reservoir, heat recovery well and CO2
drive, temperature effect well test and unconventional oil and gas well test interpretation
module such as shale gas and dense gas, in which the combinate seepage equation solutions
are more than 90000. Well test analysis is a widely used method in the exploration and
development of oil and gas fields. On the basis of oil test (gas test) or oil and gas field
development test, by testing and analyzing bottom hole pressure data, reservoir can be
analyzed and evaluated, which plays an important guiding role in the exploration and
development of oil and gas fields.
The software has been upgraded and optimized on the basis of Chen Gong production data
software V1.0, using new Ribbon interface design, has friendly interface and easy to
Powerful data editing and processing functions: regular data
editing, such as insert, delete, copy, paste, etc.; graphic editing function, data edited by
graphic, such as delete, insert, move through the mouse; other advanced functions, such as
section curve smooth, section curve regression, section resampling.
Comprehensive well test model: using seepage mode, geological
model, fluid type, wellbore flow, different types of wells and different boundary
combination form to build well test analysis model, the combination models are more than
90,000, to meet the domestic exploration and development of various oil and gas reservoirs
well test interpretation needs.
Common well test analysis methods: well test analysis methods
such as pressure and derivative simulation, linear section analysis methods (linear flow,
semi-log, etc.) are provided.
Report output function: directly output the relevant
interpretation results to the determined report template, to process report output.
On the basis of abundant well test model, the new well test software provides early well test
analysis method for pressure recovery data without radial flow in low permeability oil and
gas reservoir pressure test; provides nonlinear regression simulation method and automatic
simulation method based on big data; and has advanced functions such as sensitive analysis,
multi-well contrast, well test design, transient capacity and flow calculation, which can
fully meet the needs of users.
Analysis method of early well test: it can interpret well test
without radial flow. By using small signal extraction and amplification technology, a well
test plate suitable for early well test analysis is obtained, which improves the
interpretation accuracy and interpretation rate of pressure data.
Multiple simulation analysis methods: manual simulation, mouse
drag simulation, scroll bar micro-adjusting simulation, nonlinear regression and automatic
simulation method based on big data, convenient for users to quickly and accurately
interpret the well test, especially mouse drag simulation, using human-computer interaction
to quickly obtain high quality simulation effect.
Provides advanced functions: sensitive parameter analysis,
multi-well contrast, well test design, transient capacity and flow calculation are provided.
Calculation of the proportion of adsorbed gas: real-time
calculation function of the proportion of adsorbed gas in shale gas production is first time
created, to assist in judging the production stage of shale gas well, and to help the
rational planning of subsequent production.
Shale gas and water two-phase flow model: in view of the shale
gas flowback drainage stage and the large amount of liquid production in the early stage of
production, the first two-phase flow analysis model of shale gas and water can be put
forward to calculate the change of water saturation near the wellbore and scientifically
plan the shale gas flowback drainage and production system.
Various production capacity forecasting methods: including
constant pressure forecasting, constant flow forecasting, constant production first then
constant pressure forecasting, constant pressure first then constant production forecasting,
pressure trend line forecasting methods, etc., which are more close to the field production
practice, the prediction results are more accurate, and provide theoretical basis for