Actual case of oil and gas fields development is well test methods improvement. Such tests are one of the most important sources of data on oil and gas field geological structure and reservoir filtration properties. These data is very important to increase the effectiveness of reservoirs development and mathematic modeling. It is known that most informative and reliable results could be acquired during well test at non-stationary flow regimes – pressure buildup (drawdown) and interference test. Surveillance by these methods requires quite long production shut-in, which leads to production losses. That is why alternative well test approaches appears for non-stationary filtration conditions, that reduces production losses. Three so-kind approaches could be identified. The first one is two regimes method (idealized case with significant limitations). The second one is single well or multi-well deconvolution (in the case of these methods, short shutdowns of wells are typical). The third one is production decrease analysis (the most effective for relatively smooth long-term pressure and rates data). For wells with non-stable rates application of these methods is difficult. The authors consider significantly different approach, which does not depend on pressure and rates changes. In standard case for interpretation of such tests initial reservoir pressure is required actual before production start. Due to often production start at interfered reservoir pressure and first point on pressure stabilization curve does not match to reservoir pressure, correct interpretation is difficult. The authors propose new mathematic model for vertical well producing from homogeneous infinite reservoir. This model makes available identification of conductivity-capacitive properties and reservoir pressure. Testing of model on synthetic and field data identified good results.
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