Abstract
Nowadays, the unconventional gas-bearing system plays an increasingly important role in energy market. The performances of the current history-matching techniques are not satisfied when applied to such systems. To overcome this shortfall, an alternative approach was developed and applied to investigate production data from an unconventional gas-bearing system. In this approach, the fluid flow curve obtained from the field is the superposition of a series of Gaussian functions. An automatic computing program was developed in the MATLAB, and both gas and water field data collected from a vertical well in the Linxing Block, Ordos Basin, were used to present the data processing technique. In the reservoir study, the automatic computing program was applied to match the production data from a single coal seam, multiple coal seams and multiple vertically stacked reservoirs with favourable fitting results. Compared with previous approaches, the proposed approach yields better results for both gas and water production data and can calculate the contributions from different reservoirs. The start time of the extraction for each gas-containing unit can also be determined. The new approach can be applied to the field data prediction and designation for the well locations and patterns at the reservoir scale.
Highlights
The unconventional gas-bearing system, containing continuous accumulations of unconventional natural gases, has attracted much attention with the depletion of conventional natural gases (Feng et al 2016; Cui et al 2019)
We have proved that the field data from an unconventional gas-bearing system can be represented by the superposition of a series of Gaussian functions and the Gaussian functions may overlap with each other
Four Gaussian functions represent the matrix and fracture systems in both coal seams, the hydraulic fracturing water is considered in five Gaussian functions and the resources from other strata are considered in six Gaussian functions
Summary
The unconventional gas-bearing system, containing continuous accumulations of unconventional natural gases, has attracted much attention with the depletion of conventional natural gases (Feng et al 2016; Cui et al 2019). It is widely found in the Ordos Basin, China, and Cooper Basin, Australia. The historymatching and analysis approaches of field data for the unconventional gas-bearing system should be different from that in a conventional system (Su et al 2005). To cope with the defects of the current approaches, a mathematical model was proposed with an auto-computing program to match the field data from the unconventional gas-bearing system. The paper is organised as follows: the mathematical model and autocomputing program are introduced in Sect. 2, the verified case is introduced in Sect. 3, and the applications of the proposed model are introduced in Sect. 4, followed by the conclusions
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