A two-step method to apply Xu–Payne multi-porosity model to estimate pore type from seismic data for carbonate reservoirs

Abstract

Carbonate reservoirs exhibit strong heterogeneity in the distribution of pore types that can be quantitatively characterized by applying Xu-Payne multi-porosity model. However, there are some prerequisites to this model the porosity and saturation need to be provided. In general, these application conditions are difficult to satisfy for seismic data. In order to overcome this problem, we present a two-step method to estimate the porosity and saturation and pore type of carbonate reservoirs from seismic data. In step one, the pore space of the carbonate reservoir is equivalent to a single-porosity system with an effective pore aspect ratio; then, a 3D rock-physics template (RPT) is established through the Gassmann's equations and effective medium models; and then, the effective aspect ratio of pore, porosity and fluid saturation are simultaneously estimated from the seismic data based on 3D RPT. In step two, the pore space of the carbonate reservoir is equivalent to a triple-porosity system. Combined with the inverted porosity and saturation in the first step, the porosities of three pore types can be inverted from the seismic elastic properties. The application results indicate that our method can obtain accurate physical properties consistent with logging data and ensure the reliability of characterization of pore type.

Rock physics modelling‐based characterization of deep and tight mixed sedimentary (clastic and carbonate) reservoirs: A case study from North Potwar Basin of Pakistan

“…In the next step, pore fractions (and pore ARs) are added to the rock physics model to generate first‐pass rock physics results. The Xu and Payne (2009) model is used for the carbonate reservoir (above the top of the Hangu formation) by partitioning the pore space of carbonate rock into clay and non‐clay pores (Li et al., 2020). Further, the non‐clay minerals pore system is divided into three types of pores based on ARs.…”

Reliability Analysis of Subsea Control System Using FMEA and FFTA

“…Reliability theory refers to an analytical method for assessing whether a system achieves a specified reliability over a specified period of time and under specified conditions [11] [12]. At the same time, it provides a way to measure the relative reliability of a system, and thus to identify weaknesses in that system and provide a theoretical basis for improving system design [13].…”