@Article{fdmp.2023.043565,
AUTHOR = {Hao Luo, Haibo Deng, Honglin Xiao, Shaoyang Geng, Fu Hou, Gang Luo, Yaqi Li},
TITLE = {A Transient-Pressure-Based Numerical Approach for Interlayer Identification in Sand Reservoirs},
JOURNAL = {Fluid Dynamics \& Materials Processing},
VOLUME = {20},
YEAR = {2024},
NUMBER = {3},
PAGES = {641--659},
URL = {http://www.techscience.com/fdmp/v20n3/55194},
ISSN = {1555-2578},
ABSTRACT = {Almost all sandstone reservoirs contain interlayers. The identification and characterization of these interlayers is critical for minimizing the uncertainty associated with oilfield development and improving oil and gas recovery. Identifying interlayers outside wells using identification methods based on logging data and machine learning is difficult and seismic-based identification techniques are expensive. Herein, a numerical model based on seepage and well-testing theories is introduced to identify interlayers using transient pressure data. The proposed model relies on the open-source MATLAB Reservoir Simulation Toolbox. The effects of the interlayer thickness, position, and width on the pressure response are thoroughly investigated. A procedure for inverting interlayer parameters in the reservoir using the bottom-hole pressure is also proposed. This method uses only transient pressure data during well testing and can effectively identify the interlayer distribution near the wellbore at an extremely low cost. The reliability of the model is verified using effective oilfield examples.},
DOI = {10.32604/fdmp.2023.043565}
}