Nanoparticle fluids for an AI-assisted water alternating gas process
A treatment fluid including an aqueous colloid containing a first surfactant and a plurality of nanoparticles encapsulated by a second surfactant. A method for preparing a treatment fluid including mixing a plurality of metallic oxide nanoparticles with a first surfactant to form an intermediate solution. A second surfactant is added to the intermediate solution to form nanoparticles encapsulated by the second surfactant. A method of extracting hydrocarbons from a well environment and storing carbon dioxide in the well environment including injecting a first amount of carbon dioxide and a first amount of a treatment fluid into a hydrocarbon reservoir via an injection well in a well environment. The treatment fluid treatment fluid including an aqueous colloid containing a first surfactant and a plurality of nanoparticles encapsulated by a second surfactant. Subsequently, determining a byproduct amount of the carbon dioxide extracted from the well environment.
1. A treatment fluid, comprising:
an aqueous colloid comprising:
a brine;
0.02 to 0.08% by weight of a nanoparticle;
5% to 50% by weight of a first surfactant in the form of a micelle around the nanoparticle, wherein the first surfactant comprises petroleum sulfonate; and
a second surfactant encapsulating the micelle around the nanoparticle.
2. The treatment fluid of claim 1 , wherein the second surfactant comprises cocamidopropyl hydroxysultaine.
3. The treatment fluid of claim 1 , wherein the nanoparticle comprises a metal oxide.
4. The treatment fluid of claim 3 , wherein the metal oxide is selected from the group consisting of iron oxide, magnesium oxide, zinc oxide, aluminum oxide, and combinations thereof.
5. The treatment fluid of claim 1 , wherein the treatment fluid comprises the second surfactant in an amount ranging from about 5% to 50% by weight of the treatment fluid.
6. The treatment fluid of claim 1 , wherein the treatment fluid is stable for a year or more under conditions of a temperature of 70 degrees Celsius (° C.) or more and a salinity of 30,000 parts per million (ppm) or more.
7. A method for preparing a treatment fluid, comprising:
mixing a metal oxide nanoparticle with a first surfactant to form an intermediate solution containing a metal oxide nanoparticle capsule in the form of a micelle around the nanoparticle, wherein the first surfactant comprises petroleum sulfonate; and
adding a second surfactant to the intermediate solution, wherein a sequential addition of the first surfactant and the second surfactant encapsulates the metal oxide nanoparticle capsule to form the treatment fluid;
wherein the treatment fluid comprises 0.02% to 0.08% by weight of the metal oxide nanoparticles and 5% to 50% by weight of the first surfactant.
8. The method of claim 7 , wherein the second surfactant comprises cocamidopropyl hydroxysultaine.
9. The method of claim 7 , wherein the nanoparticle comprises a metal oxide.
10. A method of extracting hydrocarbons from a well environment and storing carbon dioxide in the well environment comprising:
injecting, via an injection well in the well environment, a first amount of carbon dioxide and a first amount of a treatment fluid in turn into a hydrocarbon reservoir;
extracting, via a production well in the well environment, a produced amount of the hydrocarbons from the hydrocarbon reservoir; and
determining a byproduct amount of the carbon dioxide extracted from the well environment;
wherein the treatment fluid comprises an aqueous colloid comprising a nanoparticle and a first surfactant wherein the first surfactant is in the form of a micelle around the nanoparticle; and a second surfactant encapsulating the micelle around the nanoparticle;
wherein the treatment fluid comprises 0.02% to 0.08% by weight of the metal oxide nanoparticles and 5% to 50% by weight of the first surfactant.
11. The method of claim 10 , further comprising:
inputting a value of the byproduct amount of the carbon dioxide and a value of the produced amount of hydrocarbons into a trained artificial intelligence model; and
obtaining a value of a second amount of carbon dioxide and a value of a second amount of the treatment fluid from the trained artificial intelligence model.
12. The method of claim 11 , wherein the trained artificial intelligence model comprises a Markov decision process.
13. The method of claim 10 , further comprising separating the produced amount of hydrocarbons as a final product from a byproduct amount of the treatment fluid and the byproduct amount of the carbon dioxide.
14. The method of claim 10 , further comprising recycling the byproduct amount of the treatment fluid and the byproduct amount of the carbon dioxide for reinjecting.