Mathematical model of Capacitance Resistance Model (CRM)
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CRM – Single-Tank Capacitance Resistance Model
The model equation is:
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q^{\uparrow}(t) = f \, q^{\downarrow}(t) - \tau \cdot \frac{ d q^{\uparrow}}{ dt } - \beta \cdot \frac{d p_{wf}}{dt} |
where
The
and
constants are related to some primary well and reservoir characteristics:
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\beta = c_t \, V_\phi |
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\tau = \frac{\beta}{J} = \frac{c_t V_\phi}{J} |
where
| total formation-fluid compressibility |
| drainable reservoir volume |
| total rock volume within the drainage area |
| average effective reservoir porosity |
| total fluid productivity index |
Total formation compressibility is a linear sum of reservoir/fluid components:
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c_t = c_r + s_w c_w + s_o c_w + s_g c_g |
where
| rock compressibility |
| water, oil, gas compressibilities |
| water, oil, gas formation saturations |
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| The first assumption of CRM is that productivity index of producers stays constant in time: LaTeX Math Block |
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| J = \frac{q_{\uparrow}(t)}{p_r(t) - p_{wf}(t)} = \rm const |
which can re-written as explicit formula for formation pressure: LaTeX Math Block |
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| p_r(t) = p_{wf}(t) + J^{-1} q_{\uparrow}(t) |
The second assumption is that drainage volume of producers-injectors system is finite and constant in time: LaTeX Math Block |
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| V_\phi = V_{rocks} \phi = \rm const |
The third assumption is that total formation-fluid compressibility stays constant in time: LaTeX Math Block |
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| c_t \equiv \frac{1}{V_{\phi}} \cdot \frac{dV_{\phi}}{dp} = \rm const |
which can be easily integrated: LaTeX Math Block |
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| V_{\phi}(t) =V^\circ_{\phi} \cdot \exp \big[ - c_t \cdot [p_i - p_r(t)] \big] |
where is field-average initial formation pressure, is initial drainage volume,
– field-average formation pressure at time moment , is drainage volume at time moment .
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| \frac{dV_{\phi}}{dp} = c_t \, V_{\phi} \ \cdot |
The change in drainage volume is leading to formation pressure variation
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| c_t \equiv \frac{1}{V_{\phi}} \cdot \frac{dV_{\phi}}{dp} = \frac{1}{V_{\phi}} \cdot \frac{1}{p_i - p_r(t) } \cdot \Bigg[ \int_0^t q_{\uparrow}(\tau) d\tau - f \int_0^t q_{\downarrow}(\tau) d\tau \Bigg] = \rm const |
The last equation can be rewritten as: LaTeX Math Block |
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| \int_0^t q_{\uparrow}(\tau) d\tau - f \int_0^t q_{\downarrow}(\tau) d\tau = c_t \, V_\phi \, [p_i - p_r(t)] |
and differentiated LaTeX Math Block |
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| q_{\uparrow}(\tau) = f q_{\downarrow}(\tau) - c_t \, V_\phi \, \frac{d p_r(t)}{d t} |
and substituting from productivity equation LaTeX Math Block Reference |
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| : LaTeX Math Block |
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| q_{\uparrow}(\tau) = f q_{\downarrow}(\tau) - c_t \, V_\phi \, \bigg[ \frac{d p_{wf}(t)}{d t} + J^{-1} \frac{d q_{\uparrow}}{d t} \bigg] |
which leads to LaTeX Math Block Reference |
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The objective function is:
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E[\tau, \beta, f] = \sum_k \big[ q^{\uparrow}(t_k) - \tilde q^{\uparrow}(t_k) \big]^2 \rightarrow \min |
The constraints are:
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\tau \geq 0 , \quad \beta \geq 0, \quad 0 \leq f \leq 1 |
CRMP – Multi-tank Producer-based Capacitance Resistance Model
The model equation is:
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q^{\uparrow}_j (t) = \sum_i^{n_i} f_{ij} q^{\downarrow}_i(t) - \tau_j \cdot \frac{ d q^{\uparrow}_j}{ dt } - \beta_j \cdot \frac{d p_j}{dt} |
The objective function is:
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E[\tau, \beta, f] = \sum_k \sum_j \big[ q^{\uparrow}_j(t_k) - \tilde q^{\uparrow}_j(t_k) \big]^2 \rightarrow \min |
The constraints are:
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\tau_j \geq 0 , \quad \beta_j \geq 0, \quad f_{ij} \geq 0 , \quad \sum_i^{N^{\uparrow}} f_{ij} \leq 1 |
ICRM – Multi-Tank Integrated Capacitance Resistance Model
The model equation is:
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Q^{\uparrow}_j (t) = \sum_i^{n_i} f_{ij} Q^{\downarrow}_i(t) - \tau_j \cdot \big[ q^{\uparrow}_j(t) - q^{\uparrow}_j(0) \big] - \beta_j \cdot \big[ p_j(t) - p_j(0) \big] |
The objective function is:
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E[\tau, \beta, f] = \sum_k \sum_j \big[ Q^{\uparrow}_j(t_k) - \tilde Q^{\uparrow}_j(t_k) \big]^2 \rightarrow \min |
The constraints are:
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\tau_j \geq 0 , \quad \beta_j \geq 0, \quad f_{ij} \geq 0 , \quad \sum_i^{N^{\uparrow}} f_{ij} \leq 1 |
See Also
Petroleum Industry / Upstream / Production / Subsurface Production / Field Study & Modelling / Production Analysis / Capacitance Resistance Model (CRM)
References
https://doi.org/10.2118/147344-MS
https://doi.org/10.2118/177106-MS