Large-scale caves provide important storage space in carbonate oil and gas reservoirs. However, accurately estimating their volume remains challenging because of complex geometries and limited access to underground cavities. In this study, an analytical well-test method is proposed to estimate large-scale cave volume from pressure-transient responses. A physical model is first established and mathematically formulated, followed by the derivation of an analytical solution in the Laplace domain. Stehfest’s numerical inversion is then applied to obtain pressure and pressure-derivative-type curves under different outer boundary conditions. The results identify four characteristic flow regimes: the wellbore-storage regime, the transition-flow regime, the cave-storage regime, and the boundary-dominated flow regime. A distinct concave feature is observed in the pressure-derivative curves. Sensitivity analysis shows that the pressure response is mainly influenced by three dimensionless parameters: the depth coefficient, radius coefficient, and shape coefficient. The depth coefficient primarily determines the transition time of the wellbore-storage regime, the radius coefficient mainly affects the width and depth of the concave response, and the shape coefficient mainly influences its magnitude. Finally, two field cases are presented to demonstrate the applicability of the proposed method for estimating cave volume.
In response to the problem of highly dispersed remaining oil and the difficulty in accurately assessing the development potential during the high water cut period of Daqing Oilfield, this paper takes a typical sandstone reservoir as the research object. Using micro-micron CT imaging technology, a digital core model wit...
Jin-Mei Shao· International Conference on...· 0 citations
Accurate bottomhole pressure is crucial for tracking gas well performance. However, ultra-deep fracture-vuggy reservoirs are characterized by a complex mix of matrix, fractures, and vugs, plus condensate gas phase changes, which makes interpretation difficult. To solve this, unsteady pressure buildup data and productio...
This research evaluates the Sa'di Formation within the Halfaya oil field in southern Iraq through an integrated petrophysical analysis of six wells. A full set of wireline logs was interpreted using Techlog software, including Caliper, GR, NPHI, RHOB, resistivity, and sonic, to determine petrophysical properties of the...
Ahmed Lazim, M. al-Shahwan· Iraqi Geological Journal· 0 citations
This study investigates the petrophysical properties of complex carbonate reservoirs in the Alan field, Chorjou step, Bukhara-Khiva oil and gas region, to support spatial distribution and reserve estimation. It aims to identify factors driving the "apparent saturation" effect and low-resistivity pay zones in the Jurass...
О. Karshiyev, Isroil Holmurodov, Oybek Bolibekov· E3S Web of Conferences· 0 citations
To reduce the operational cost and risk of conventional downhole testing, this study presents an integrated well-test interpretation workflow that uses wellhead shut-in pressure data to characterize formation flow conditions in real time. Fluid mass- and heat-transfer equations are established for the wellbore, and a h...
Xiao-Yong Wan, Ning Zou, Lei-Yu Tao et al.· Processes· 0 citations
This study investigates how geomechanics influences long-term productivity in an ultra-tight black-oil reservoir. Matrix rock properties are generated using a Bayesian framework in which porosity is sampled from a prescribed prior distribution, and permeability is sampled from a conditional distribution based on the...
Oscar M. Molina, Wei-Nan Chen, A. Dey· SPE Annual Technical Confere...· 0 citations
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