Abstract: A method for determining flow distribution in a formation having a wellbore formed therein includes the steps of positioning a sensor within the wellbore, wherein the sensor generates a feedback signal representing at least one of a temperature and a pressure measured by the sensor, injecting a fluid into the wellbore and into at least a portion of the formation adjacent the sensor, shutting-in the wellbore for a pre-determined shut-in period, generating a simulated model representing at least one of simulated temperature characteristics and simulated pressure characteristics of the formation during the shut-in period, generating a data model representing at least one of actual temperature characteristics and actual pressure characteristics of the formation during the shut-in period, wherein the data model is derived from the feedback signal, comparing the data model to the simulated model, and adjusting parameters of the simulated model to substantially match the data model.

Abstract: The invention concerns a method and a system for predicting the apparent flow conductivity of a heterogeneous medium. According to the invention, the following steps are implemented:—choosing a flow conductivity element type with a given set of characteristic parameters;—determining equations for said flow in said element type;—determining a network statistics for said given set of characteristic parameters; and—performing a stochastic homogenisation of said equations, for said network statistics. The invention applies more particularly to the predicting of the apparent viscosity of non-Newtonian fluids in a heterogeneous porous medium.

Abstract: A method for determining flow distribution in a formation having a wellbore formed therein includes the steps of positioning a sensor within the wellbore, wherein the sensor generates a feedback signal representing at least one of a temperature and a pressure measured by the sensor, injecting a fluid into the wellbore and into at least a portion of the formation adjacent the sensor, shutting-in the wellbore for a pre-determined shut-in period, generating a simulated model representing at least one of simulated temperature characteristics and simulated pressure characteristics of the formation during the shut-in period, generating a data model representing at least one of actual temperature characteristics and actual pressure characteristics of the formation during the shut-in period, wherein the data model is derived from the feedback signal, comparing the data model to the simulated model, and adjusting parameters of the simulated model to substantially match the data model.

Abstract: Two new flow parameters derived from laboratory core-flood experiments are used in building mathematical models to predict the performance of an acid treatment when treatment is made with self diverting fracturing acids. The two new variables are: ?Pr is defined as the value of ?p (in the core flood experiment) when ?p switches from a first to a second linear trend at time tr ?r is the number of pore volumes injected when the switch occurs.

Abstract: A computationally efficient general method of modeling or simulating matrix acidizing treatment when flow is not axisymmetric involves determining streamlines in the general flow field using complex potential theory to solve for the flow along the streamlines. The flow over a time step is used to model the propagation of the acid front and the creation and extension of wormholes.

Abstract: Two new flow parameters derived from laboratory core-flood experiments are used in building mathematical models to predict the performance of an acid treatment when treatment is made with self diverting fracturing acids. The two new variables are: ?Pr is defined as the value of ?p (in the core flood experiment) when ?p switches from a first to a second linear trend at time tr ?r is the number of pore volumes injected when the switch occurs.

Abstract: A computationally efficient general method of modeling or simulating matrix acidizing treatment when flow is not axisymmetric involves determining streamlines in the general flow field using complex potential theory to solve for the flow along the streamlines. The flow over a time step is used to model the propagation of the acid front and the creation and extension of wormholes.