Учет Анизотропии Пласта С Целью Повышения Точности Моделирования Гидравлического Разрыва
Year: 2026
Type: article
Abstract: This paper examines the influence of rock anisotropy on the development of hydrocarbon fields using wells stimulated with hydraulic fracturing (HF) and multi-stage hydraulic fracturing (MSHF). The field data analysis clearly demonstrates that anisotropy neglecting leads to the formation of excessively high fractures and the risk of high well water cut after hydraulic fracturing. In fact, sharp increase in water cut has been observed (up to 99 %) in some cases after hydraulic fracturing, leading to overestimation of production forecasts and accompanying significant economic risks.Based on conducted analysis of relevant recent scientific papers, key aspects of end-to-end modeling were systematized: from accounting for vertical anisotropy in geomechanics and stochastic modeling of a well bottom zone up to application of local grid refinement (LGR) methods in flow simulators.Well testing methods capable to estimate formation anisotropy at scales comparable to a typical grid cell size in a flow model were proposed.A practical example of evaluation the main axes of the absolute permeability tensor based on the results of solving an inverse problem by assimilating recorded bottomhole pressure dynamics is presented in the paper.With single active (injection) well and four observation wells with bottomhole pressure recording, 15 parameters were estimated, namely three components of the absolute permeability tensor within five zones.Synthetic examples clearly demonstrate that even with a single vertical well itself, it is possible to appraise vertical permeability in several zones at different distances from a wellbore. To achieve this result, it is necessary to equip two intervals in a well at different depths, separated by a packer. During well testing, one interval acts as an active source of disturbance through fluid injection, and the second serves as an observation interval, registering the system response by recording pressure dynamics. The system parameters were recovered based on the results of solving corresponding inverse problem.This approach enables reliable acquisition of high-quality input data for reservoir simulation at the required scale.
Source: Oil and Gas Business
Language: English
Subfield: Fuel Technology
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7225650251
FWCI:
Cites:
Cited by:
Related to: