E3S Web Conf.
Volume 213, 20202nd International Conference on Applied Chemistry and Industrial Catalysis (ACIC 2020)
|Number of page(s)||7|
|Section||Energy Mining Research and Composite Material Performance Analysis|
|Published online||01 December 2020|
Productivity Testing and Analysis of Low Permeability and Thick Layer of N Gas Field
Petroleum engineering school, Southwest petroleum university, Chengdu, Sichuan, 610500, china
2. CNOOC Shanghai Branch, Shanghai, 20050, china
* Corresponding author: firstname.lastname@example.org
For a better guidance of production, a combination of drill stem testing (DST), regional statistical method and pseudo steady-state seepage theory model was used to analyze the productivity of N gas reservoir in light of the complex geological features of the low-permeability thick-layer. Firstly, the DST method was used to test the N gas reservoir. And then the binomial pseudo-pressure method, binomial pressure square method and exponential method were used to interpret the test data of DST of this formation. Finally, the binomial pseudo-pressure interpretation method was used and the results showed that only the productivity of H3b layer was successfully tested of the four. The H3a, H4b and H5a layers are ultra-low pore and permeability gas reservoirs and the productivity of these layers can’t be explained by the available data due to the short testing time and a non-stationary state of testing pressure and quantity, resulting in the failure of the test. The productivity of the main layers were estimated and forecasted by the regional statistical method and the theoretical model of pseudo steady-state seepage, taking the arithmetic average value of the regional statistical method and the theoretical formula as the final value of absolute open flow rates(AOF). The final calculation results are as follows: the AOF of main gas layers H3a, H3b, H4b and H5a in N gas field is 31.30×104m3/d, 388.92×104m3/d, 20.82×104m3/d and 30.80×104m3/d, respectively. This method may sheds light on verifying and calculating the productivity of gas wells and determining the reasonable production allocation of gas wells.
© The Authors, published by EDP Sciences, 2020
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