Methods and system to reduce imperceptible lab experiments
US-2017364607-A1 · Dec 21, 2017 · US
US2020333318A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020333318-A1 |
| Application number | US-201716479821-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 22, 2017 |
| Priority date | Feb 22, 2017 |
| Publication date | Oct 22, 2020 |
| Grant date | — |
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Methods, systems, and compositions for wellbore cementing are provided. A method may comprise: analyzing an industrial byproduct and one or more additional components to generate data about physical and/or chemical properties of the industrial byproduct; determining a concentration of the byproduct and the one or more additional components based on the data to provide a settable composition having a twenty-four destructive compressive strength at 100° F. to 200° F. of about 50 psi or greater.
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What is claimed is: 1 . A method comprising: analyzing an industrial byproduct and one or more additional components to generate data about physical and/or chemical properties of the industrial byproduct; and determining a concentration of the byproduct and the one or more additional components based on the data to provide a settable composition having a twenty-four destructive compressive strength at 100° F. to 200° F. of about 50 psi or greater. 2 . The method of claim 1 wherein the industrial byproduct comprises at least one material selected from the group consisting of fly ash, drill cuttings, cement kiln dust, silica fume, a bio-ash, and combinations thereof. 3 . The method of claim 1 wherein the analyzing the industrial byproduct comprises analysis by one or more techniques selected from the group consisting of microscopy, spectroscopy, x-ray diffraction, x-ray fluorescence, particle size analysis, water requirement analysis, scanning electron microscopy, energy-dispersive X-ray spectroscopy, surface area, specific gravity analysis, thermogravimetric analysis, morphology analysis, infrared spectroscopy, ultraviolet-visible spectroscopy, mass spectroscopy, secondary ion mass spectrometry, electron energy mass spectrometry, dispersive x-ray spectroscopy, auger electron spectroscopy, inductively coupled plasma analysis, thermal ionization mass spectroscopy, glow discharge mass spectroscopy x-ray photoelectron spectroscopy, mechanical property testing, Young's Modulus testing, rheological properties, Poisson's Ratio, API testing, and combinations thereof. 4 . The method of claim 1 wherein the data comprises an amount of at least component selected from the group consisting of silica, alumina, iron, calcium, sodium, potassium, magnesium, sulfur, oxides thereof, and combinations thereof. 5 . The method of claim 1 wherein the data comprises average particle size, particle size distribution, and morphology. 6 . The method of claim 1 wherein the data comprises specific surface area. 7 . The method of claim 1 further comprising determining correlations of specific surface to water requirement of the industrial byproduct. 8 . The method of claim 1 wherein the one or more additional components comprise a silica source and/or lime. 9 . The method of claim 1 further comprising preparing a cement composition comprising the industrial byproduct and the one or more additional cement components, introducing the cement composition into a subterranean formation, and allowing the cement composition to set. 10 . The method of claim 9 wherein the cement composition is introduced into the subterranean formation using one or more pumps. 11 . The method of claim 9 wherein the preparing a cement composition comprising mixing components of the cement composition using mixing equipment, the components comprising water, the industrial byproduct, and the one or more additional cement components. 12 . The method of claim 1 wherein the cement component further comprises Portland cement. 13 . The method of claim 1 further comprising preparing a sample cement composition comprising the cement additive, testing the sample cement composition to determine one or more performance characteristics selected from the group consisting of compressive strength, thickening time, and fluid loss, and adjusting concentration of one or more additives in the sample cement composition. 14 . A system for analyzing industrial byproduct comprising: a plurality of industrial byproducts; an analytical instrument configured to gather data about the industrial byproducts; a computer system configured to accept the data, and generate correlations for the industrial byproducts based on the data. 15 . The system of claim 14 wherein the industrial byproducts comprise at least one material selected from the group consisting of fly ash, drill cuttings, cement kiln dust, silica fume, a bio-ash, and combinations thereof, and wherein the cement component further comprises an additional silica source that is alkali soluble. 16 . The system of claim 14 wherein the analytical instrument is configured to perform one or more of the functions selected from the group consisting group consisting of microscopy, spectroscopy, x-ray diffraction, x-ray fluorescence, particle size analysis, water requirement analysis, scanning electron microscopy, energy-dispersive X-ray spectroscopy, surface area, specific gravity analysis, thermogravimetric analysis, morphology analysis, infrared spectroscopy, ultraviolet-visible spectroscopy, mass spectroscopy, secondary ion mass spectrometry, electron energy mass spectrometry, dispersive x-ray spectroscopy, auger electron spectroscopy, inductively coupled plasma analysis, thermal ionization mass spectroscopy, glow discharge mass spectroscopy x-ray photoelectron spectroscopy, mechanical property testing, Young's Modulus testing, rheological properties, Poisson's Ratio, API testing, and combinations thereof. 17 . The system of claim 14 wherein the computer system further comprises an algorithm configured to: analyze the physical and chemical data and output a predictive model; and store the predictive model in a predictive model database. 18 . The system of claim 17 wherein the predictive model comprises a correlation of a specific surface area and water requirement of an industrial byproduct. 19 . A system for generating cement compositions comprising: a predictive model database comprising predictive model data, reactivity maps, and raw data; a materials database, wherein the materials database comprise a silica source that is an industrial byproduct; a computer system configured to query the databases and accept input from a user; and an algorithm capable of generating calculated cement compositions. 20 . The system of claim 19 wherein the algorithm is configured to generate the calculated cement compositions with a selected industrial byproduct defined by the user, wherein the selected industrial byproduct is the silica source in the materials database.
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