# Reusing NoiseProcess in StochasticDiffEq
**URL:** https://discourse.julialang.org/t/reusing-noiseprocess-in-stochasticdiffeq/128947
**Category:** Numerics
**Tags:** sde, sciml
**Created:** [May 13, 2025, 8:06am UTC](https://discourse.julialang.org/t/reusing-noiseprocess-in-stochasticdiffeq/128947 "2025-05-13T08:06:27Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@ymuv1](https://discourse.julialang.org/u/ymuv1)
#### Post date: [May 13, 2025, 8:06am UTC](https://discourse.julialang.org/t/reusing-noiseprocess-in-stochasticdiffeq/128947/1 "2025-05-13T08:06:27Z")
I am trying to use the same `NoiseProcess` in two different SDE integrations. I don’t mean to just use the same type of noise, but the same values as well (and potentially values in intermediate times obtained via the bridge function). I can get the NoiseProcess from the first integration by passing `get_noise=true` in the first `solve` call:
```julia
using DifferentialEquations
using Plots
function f!(du, u, p, t)
du[1] = u[1]
end
function g!(du, u, p, t)
du[1] = 0.1u[1]
end
tspan = (0.0, 10.0)
u0 = [1.0]
prob = SDEProblem(f!, g!, u0, tspan)
sol = solve(prob, save_noise=true)
# sol.W is the noise process
```
But I can’t find a way to use this noise in another `solve`. I would like something like this:
`prob2 = SDEProblem(f!, g!, u0, tspan, noise=sol.W, alg=SomeOtherAlg)` but the noise argument seems to be meant for the noise type, not specific noise values.
E.g., running the following code (after I ran the first) results in non-overlapping graphs:
```julia
plot(sol.t, sol[1, :])
prob2 = SDEProblem(f!, g!, u0, (tspan), noise=sol.W)
sol = solve(prob2, save_noise=true)
plot!(sol.t, sol[1, :])
```
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [May 13, 2025, 1:29pm UTC](https://discourse.julialang.org/t/reusing-noiseprocess-in-stochasticdiffeq/128947/2 "2025-05-13T13:29:58Z")
I think you’re looking for NoiseWrapper?
> **[Abstract Noise Processes · DiffEqNoiseProcess.jl](https://docs.sciml.ai/DiffEqNoiseProcess/stable/abstract_noise_processes/#Alternative-AbstractNoiseProcess-Types)**
>
> Documentation for DiffEqNoiseProcess.jl.
---
### Author:  [@ymuv1](https://discourse.julialang.org/u/ymuv1)
#### Post date: [May 14, 2025, 9:33am UTC](https://discourse.julialang.org/t/reusing-noiseprocess-in-stochasticdiffeq/128947/3 "2025-05-14T09:33:13Z")
That’s exactly it! Thanks!
Also, in case anyone else encounters these problems, note that inputting the NoiseWrapper to `solve` changes the default solving algorithm, so you need to specify that as well to reproduce the same results.