Smoothing Tidal Effects in Well Test Pressure Data

  • Felipe de Oliveira PUC-Rio
  • Andréa Lins PUC-Rio
  • Abelardo Barreto PUC-Rio
  • Marcos Craizer PUC-Rio
  • Hélio Lopes PUC-Rio
  • Sinesio Pesco PUC-Rio


In petroleum reservoirs, parameters such as permeability, porosity, extension, and skin effects, have a high level of uncertainty. Different techniques attempt to improve the estimation of these parameters to improve production forecasting and cost reduction. The conventional production test, for example, requires the analysis of reservoir well pressure data. However, these data have several noise sources, such as the tidal effect, that may compromise the accuracy of test results. This letter proposes a method to smooth the noise generated by the tidal effect from well pressure data, using mathematical tools, such as the Fourier transform. We apply the discrete sine transform type I (DST-I) to filter the signal, and we use the pressure derivative to verify the results.
Palavras-chave: Discrete Fourier transform (DFT), permeability, tidal effect.
Como Citar

Selecione um Formato
DE OLIVEIRA, Felipe ; LINS, Andréa ; BARRETO, Abelardo ; CRAIZER, Marcos; LOPES, Hélio; PESCO, Sinesio. Smoothing Tidal Effects in Well Test Pressure Data. In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 32. , 2019, Rio de Janeiro. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . DOI: