MinFrac: Basic Techniques of Minifrac Analysis

The basic concepts essential to using MinFrac and implementing the results are discussed below for each type of analysis:

Step Rate Analysis

Step Rate Diagnostic plot in MinFrac A step rate test is used to determine the fracture extension pressure. This is typically considered the upper bound for the minimum horizontal stress or closure pressure.

After breakdown, fluid is pumped at increasing flow rates in a stair-step fashion. Ideally, each flow rate is maintained until a stabilized pressure is achieved. In lieu of achieving a stabilized pressure, it has been proposed periods of equal time for each flow rate can be used. Regardless, the bottomhole pressure at the end of each rate interval is then plotted versus rate to identify a change in slope. This change or “break” indicates the start of fracture extension that is theoretically equal to the magnitude of the closure pressure plus the fracture friction and propagation resistance.

Step Down Analysis

Step Down Diagnostic - Bottomhole plot in MinFrac The step down analysis is used to calculate perforation and near wellbore friction losses. If the step down analysis is performed using surface treating pressure, the pipe friction needs to be entered for analysis credibility. This analysis is used to determine near wellbore pressure loss effects (i.e., problems with anomaly high pressures which may cause a near wellbore screen-out).

This analysis is performed after fracture propagation has been established. Then during shut down the rate is decreased in a stair-step fashion for a short period of time while the pressure stabilizes. As the injection rate decreases, the pressure will also decrease as a result of perforation and near wellbore pressure losses. The relationship between the decreasing rate and pressure results in a determination of near wellbore pressure losses.

Horner Analysis

Horner - Bottomhole plot in MinFrac The Horner plot is used to determine if pseudo-radial flow developed during pressure decline. If a semi-log straight line is observed and the line can be extrapolated to a reasonable value of reservoir pressure, radial or pseudo-radial flow may be affecting the decline behavior. This suggests that the fracture is already closed and that data beyond the point of influence need not be considered in the evaluation of closure.

The Horner plot provides a lower bound, first estimate of closure pressure.

Regression Analysis

Regression Analysis - Bottomhole plot in MinFrac Regression Analysis is the procedure where treatment events are identified and parametric effects evaluated. The specific methodology is as follows:

  1. Graphically identify the major events that occurred during the treatment cycle (e.g., Initiation, ISIP, Closure etc.). Diagnostic plots can be generated using a variety of time functions. These plots are used in the determination of closure. In addition, a statistical procedure can be invoked to automatically determine closure.
  2. Once the events, including closure time, have been identified, parameters can be selected and history matches performed comparing the theoretical response to the actual measured data for each fracture model contained in the program. A regression technique is used to minimize the difference between the model results and the measured data. This process can be repeated as many times as desired.
  3. When satisfied with the combination of history-matched responses and parameter optimization for the fracture geometry models, calculation of the fracture geometry and associated fluid loss parameters can be made.

The following information can be determined from a properly conducted Regression Analysis:

  • Instantaneous shut-in pressure, ISIP.
  • Closure pressure, PC.
  • Closure time, tC.
  • Fracture efficiency, η = G (tC)/(2 + G (tC)).
  • Fraction of PAD, fmin ≈ (1-η)2 and fmax ≈ (1-η)/(1+η).
  • Fracture net pressure, ΔP = ISIP - PC.
  • Parametric uncertainly (history match).
  • Applicable fracture model (history match and net pressure).
  • Fracture area based on the best-fit geometry model.
  • Leakoff coefficient, C, if the fracture area is known.

Derivative Method

The Derivative Method is one of the methodologies for determining inflection points (i.e. fracture closure). Analyzing the derivative, dP/dt, as a function of time is a method of determining closure. The resulting trend represents the rate-of-change of pressure with respect to time. Depending on the type of data (i.e., flowback or natural decline), the derivative plot can be used to identify the closure by observing a characteristic change in the shape of this relationship.

Nolte was the first to implement this concept. In simple terms, if one can find a time function where the rate of pressure decline with respect to a time function is a constant during fracture closure, the closure time would be indicated by a deviation from the measured and theoretical pressure declines. This concept is formulated below:

ISIP - p(Ψ) = Ψd(ISIP - p)/dΨ = ΨdP / dΨ

or

p(Ψ) = ISIP - ΨdP / dΨ

Where p is the pressure, p = ISIP - p and Ψ is a time function.

The time function Nolte purposed was the Nolte G time (i.e., P = G dP/dG).

During closure the user may perform a minifrac analysis with a time function that gives the best fit pressure decline match with an inflection point at closure. Although this time function may give the best fit, it may not be the "unique solution" in the sense that there could be other solutions that match equally well.

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