This paper gives a new fonnulation of fluid loss in hydraulic fracturing that is much more general than the classical theory while retaining its simplicity. The model allows many parameters to vary during filtration and can, therefore, simulate nonlinear effects.The model has been validated against laboratory data for Newtonian fluids and crosslinked gels. The results show that the finite length of the core, viscosity screenout, and shear sensitivity are important parameters that. can be represented by the model. The standard analysis gives values of leakoff coefficients that will give incorrect, considerably higher leakoff when applied to field conditions.
IntroductionThe estimate of fluid loss is an important part of a hydraulic fracturing treatment design. Although the control of fluid loss has improved with the use of modem fracturing fluids, the size of the generated fracture areas increases with the size of a job. Consequently, fluid loss can be important even in low-penneability reservoirs for large treatments.For design calculations, fluid loss has been treated in the past by use of the simplified theory proposed by Howard and Fast, 1 which expresses the rate of filtration perpendicular to a fracture wall as a simple function of leakoff coefficients.The advantage of this approach, besides its simplicity, is that it can be directly (if not always correctly) related to experimental data on fluid filtration obtained in a laboratory. Apart from the correction of the derivation of the combined leakoff coefficient, 2,3 very little has been done to improve the classical theory.With the recent development of a simulation approach to fracturing design,4,5 it has been recognized that fluid loss can be computed directly by solving the basic multiphase flow equations in porous media. Such an approach is more general and does not have many of the assumptions that limit the chtssical theory. 6 However, the computational cost is much higher and the data required to describe the process are difficult to measure. This paper presents a generalization of the classical approach that includes the effect of several parameters that are variable in the field. The mathematical fonnulation includes the model of filter-cake behavior developed by the author 6 and the results of the work of Biot et al. , 7 which improves the calculation of flow in the reservoir. The model is then fonnulated numerically, which allows