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ChemProCal • Fluid Mechanics • Hydraulic Fracture Conductivity & Proppant Pack Sizer (API RP 19D / Cinco-Ley)
FLUID MECHANICS

Hydraulic Fracture Conductivity & Proppant Pack Sizer (API RP 19D / Cinco-Ley)

Size hydraulic fracture conductivity and proppant packs per API RP 19D / ISO 13503-5. Model effective closure stress, non-Darcy Cooke beta factor, Cinco-Ley dimensionless conductivity F_CD, and production fold of increase (FOI).



Proppant Selection & Geomechanical In-Situ Stresses

meters
psi/ft
psi/ft
bar abs
bar abs

Formation Permeability & Fracture Dimensions

mD (Tight/Shale)
meters (wing)
$\text{kg/m}^2$ ($\approx 1.74\ \text{lb/ft}^2$)
meters
°C
meters

Deliverability & Damage Degradation Factors

MMSCFD
meters (8.5" bit)
% Retained Perm
mm width loss

📐 Engineering Formula & Specification Sheet

Hydraulic Fracture Conductivity & Proppant Pack Sizer (API RP 19D / Cinco-Ley): Sizing Methodology & Engineering Basis

Calculate in-situ proppant pack conductivity, API RP 19D closure stress degradation, Cinco-Ley dimensionless conductivity F_CD, Cooke beta factor, and productivity fold of increase (FOI).

👨‍🔬 Reviewed by: Process Design Engineer (B.Tech Chemical Engineering, 5+ Yrs Exp)
🗓️ Standards: ASME / API / GPSA / ISA
⏱️ Format: Quick Reference Spec Sheet

1. Geomechanical In-Situ Closure Stress on Proppant Packs

The effective closure stress (\(\sigma_{\text{closure}}\)) acting on proppant grains in the fracture plane is the net compressive stress driving proppant crushing and embedment:

\[ \sigma_{\text{closure}} = \sigma_{h,\text{min}} - P_{\text{pore}} \]

During hydrocarbon production, as the well is drawn down from initial reservoir pressure (\(P_{\text{res}}\)) to flowing bottomhole pressure (\(P_{\text{wf}}\)), the effective stress on the proppant pack increases dramatically to its peak flowing value:

\[ \sigma_{\text{closure, flowing}} = \sigma_{h,\text{min}} - P_{\text{wf}} \]

where minimum horizontal stress is evaluated from poroelastic theory: \(\sigma_{h,\text{min}} = \frac{\nu}{1 - \nu}(\sigma_v - \alpha P_p) + \alpha P_p\).

2. API RP 19D Long-Term Permeability Degradation

Under severe closure stress, proppant grains experience crushing into fine particles that plug the pore throats. Per API RP 19D baseline testing, retained permeability is modeled by exponential stress degradation:

\[ k_f(\sigma) = k_0 \cdot \exp(-C_{\text{crush}} \cdot \sigma_{\text{closure}}) \cdot \eta_{\text{gel}} \]

where \(k_0\) is reference permeability at zero stress, \(C_{\text{crush}}\) is the material-specific crushing coefficient, and \(\eta_{\text{gel}}\) is the fractional cleanup efficiency accounting for residual fracturing fluid polymers.

3. Non-Darcy Inertial Choking (Cooke Beta Factor)

Near the wellbore, convergent high-velocity gas flow generates severe turbulent inertial resistance governed by the Forchheimer equation:

\[ -\frac{dP}{dx} = \frac{\mu v}{k_f} + \beta \rho v^2 \]

Cooke (1973) experimentally correlated the \(\beta\)-factor for proppant packs as \(\beta = \frac{b}{(k_f)^a}\). The effective apparent permeability is reduced by the Reynolds number term:

\[ k_{f,\text{eff}} = \frac{k_f}{1 + \frac{\beta k_f \rho v}{\mu}} \]

4. Cinco-Ley & Samaniego Dimensionless Fracture Conductivity (\(F_{CD}\))

The dimensionless ratio comparing fracture deliverability to reservoir deliverability is:

\[ F_{CD} = \frac{k_{f,\text{eff}} \cdot w}{k \cdot x_f} \]

The equivalent pseudo-skin factor (\(s_f\)) is derived from Cinco-Ley's polynomial solution:

\[ s_f = \frac{1.65 - 0.328 \ln F_{CD} + 0.116 (\ln F_{CD})^2}{1 + 0.18 \ln F_{CD} + 0.034 (\ln F_{CD})^2} - \ln\left(\frac{x_f}{r_w}\right) \]

delivering an equivalent wellbore radius \(r_w' = r_w e^{-s_f}\) and production fold of increase \(\text{FOI} = \frac{\ln(r_e / r_w)}{\ln(r_e / r_w) + s_f}\).

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Explore our in-depth engineering textbook guide: Natural Gas Well Sand Control & Inflow Control Selection: Standalone Screens (SAS), Gravel Packing (OHGP), Frac-Packing (CHFP) & Autonomous Inflow Control Devices (AICD) Guide. Features step-by-step manual hand calculations, thermodynamic proofs, and commercial simulator benchmarks.

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Peer Review & Engineering Accuracy

This specification sheet and its mathematical formulations adhere to internationally recognized process codes (ASME, API, GPSA, TEMA, and ISA). Sizing parameters and default design allowances are cross-referenced with empirical industry design practices.

About This Tool

1. Proppant Metallurgy, Sphericity, and API RP 19D Crush Resistance

Selecting the optimal proppant requires matching the proppant's compressive strength to the maximum anticipated effective closure stress over the 20-to-30 year productive life of the well:

  • Northern White Ottawa Sand (20/40 & 40/70): Natural monocrystalline quartz silica sand. Economical for shallow to medium-depth reservoirs with closure stresses up to \(5,000\text{--}6,000\ \text{psi}\). Beyond this stress, quartz grains catastrophically shatter, generating quartz fines that migrate and permanently damage pack permeability by up to \(90\%\).
  • Resin-Coated Sand (RCS): Natural sand grains encapsulated in a curable or pre-cured phenolic resin jacket. The ductile resin coat deforms plastically under point loading, trapping crushed fines within the shell and preventing dangerous proppant flowback into the wellbore up to \(8,000\ \text{psi}\).
  • Intermediate-Strength Ceramic (ISP): Manufactured from sintered bauxite/kaolin clays with high sphericity and roundness (\(> 0.9\)). Provides low void tortuosity and high crush resistance for closure stresses up to \(10,000\ \text{psi}\).
  • High-Strength Sintered Bauxite: Ultra-dense corundum ceramic engineered for severe deep tight-gas reservoirs up to \(14,000\ \text{psi}\) closure stress.

2. Non-Darcy Inertial Choking and Forchheimer Flow Near the Wellbore

While Darcy's law accurately models laminar creeping flow deep inside the reservoir matrix, flow inside the proppant pack near the perforations is characterized by extremely high gas interstitial velocities (\(v > 1.0\ \text{m/s}\)). Under these conditions, microscopic convective accelerations around tortuous proppant grains cause significant kinetic energy dissipation.

The Forchheimer equation accounts for this inertial effect through the Cooke turbulence \(\beta\)-factor. In high-rate gas wells, non-Darcy turbulence can reduce the apparent permeability of a 20/40 mesh sand pack by \(30\%\text{ to }70\%\). To mitigate this choking effect, operators must increase proppant pack width (\(w\)) through high areal slurry concentrations (\(> 8\ \text{kg/m}^2\)) or utilize larger-diameter, high-sphericity ceramic proppants.

3. Cinco-Ley & Samaniego Optimization: Balancing F_CD and Fracture Geometry

In their classic 1981 SPE paper, Cinco-Ley & Samaniego established that the deliverability of a hydraulically fractured well is uniquely characterized by the dimensionless fracture conductivity \(F_{CD} = \frac{k_f w}{k x_f}\):

  • Choked Fracture Regime (\(F_{CD} < 0.2\)): Fluid cannot flow along the fracture faster than it enters from the reservoir. The fracture acts as a bottleneck, and any additional fracture length (\(x_f\)) is wasted.
  • Finite Conductivity Transition (\(0.2 \le F_{CD} < 2.0\)): Production is moderately constrained by fracture resistance. Increasing proppant volume directly increases well deliverability.
  • Optimum Conductivity Window (\(2.0 \le F_{CD} \le 10.0\)): Represents the perfect economic and physical balance. Fracture inflow matches reservoir supply with minimal pressure drop along the fracture wings.
  • Infinite Conductivity Regime (\(F_{CD} > 10.0\)): Pressure drop inside the fracture is virtually zero. Further increases in proppant concentration or permeability yield negligible production gain; the well's effective wellbore radius reaches its physical maximum (\(r_w' = x_f / 2\)).

Frequently Asked Questions

What is the physical meaning of Dimensionless Fracture Conductivity (F_CD)?
Dimensionless fracture conductivity (\(F_{CD} = \frac{k_f w}{k x_f}\)) represents the ratio of the flow capacity of the propped hydraulic fracture (\(k_f w\)) to the flow capacity of the stimulated formation rock (\(k x_f\)). It dictates whether fluid flow is limited by the resistance inside the fracture or by the permeability of the reservoir matrix. An \(F_{CD}\) between 2 and 10 is widely considered the optimal engineering design target.
Why does flowing bottomhole pressure (Pwf) drawdown increase closure stress?
The total lithostatic rock weight is supported jointly by the solid rock matrix and the fluid pressure within the pore space. When bottomhole pressure is drawn down to produce hydrocarbons, the supportive pore pressure drops. The surrounding rock compresses inward with greater force onto the proppant pack, increasing effective closure stress (\(\sigma_{\text{closure}} = \sigma_{h,\text{min}} - P_{\text{wf}}\)) and triggering higher grain crushing.
How does rock embedment reduce proppant pack width?
In soft formations (such as ductile shales, coal beds, and poorly consolidated sandstones), proppant grains penetrate directly into the formation rock walls under in-situ closure stress. Embedment of just 1 to 2 grain diameters (\(0.4\text{--}0.8\ \text{mm}\)) can eliminate 20% to 50% of the net fracture width, drastically reducing conductive cross-sectional area.
When is ceramic proppant required instead of natural Ottawa sand?
Natural Northern White silica sand is generally limited to effective closure stresses below 5,000 to 6,000 psi. In deep reservoirs where drawdown closure stress exceeds 6,000 psi, silica grains shatter into fine powder, reducing pack permeability by over 90%. Intermediate-strength ceramics (ISP) and high-strength bauxite ceramics are required to maintain pack integrity up to 10,000–14,000 psi.
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