WO2001070912A1 - Crude oil blending method and system - Google Patents
Crude oil blending method and system Download PDFInfo
- Publication number
- WO2001070912A1 WO2001070912A1 PCT/US2001/001066 US0101066W WO0170912A1 WO 2001070912 A1 WO2001070912 A1 WO 2001070912A1 US 0101066 W US0101066 W US 0101066W WO 0170912 A1 WO0170912 A1 WO 0170912A1
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- WO
- WIPO (PCT)
- Prior art keywords
- constituent
- properties
- mixture
- petroleum
- ascertaining
- Prior art date
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Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J19/00—Chemical, physical or physico-chemical processes in general; Their relevant apparatus
- B01J19/0006—Controlling or regulating processes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J19/00—Chemical, physical or physico-chemical processes in general; Their relevant apparatus
- B01J19/0006—Controlling or regulating processes
- B01J19/0033—Optimalisation processes, i.e. processes with adaptive control systems
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
- C10G7/00—Distillation of hydrocarbon oils
- C10G7/12—Controlling or regulating
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J2219/00—Chemical, physical or physico-chemical processes in general; Their relevant apparatus
- B01J2219/00049—Controlling or regulating processes
- B01J2219/00168—Controlling or regulating processes controlling the viscosity
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01J—CHEMICAL OR PHYSICAL PROCESSES, e.g. CATALYSIS OR COLLOID CHEMISTRY; THEIR RELEVANT APPARATUS
- B01J2219/00—Chemical, physical or physico-chemical processes in general; Their relevant apparatus
- B01J2219/00049—Controlling or regulating processes
- B01J2219/00186—Controlling or regulating processes controlling the composition of the reactive mixture
Definitions
- This invention relates to oil refining methods and systems, and in particular to methods and systems for blending a variety of crude oils to achieve a blended petroleum mixture having desired physical and chemical properties.
- Crude oil also known as petroleum, is a complex mixture of hydrocarbons. In the process of manufacturing commercially useful petroleum products, these component hydrocarbons are separated from one another. The various physical and chemical processing steps for separating crude oil into component hydrocarbons are collectively referred to as "refining.”
- a difficulty associated with the refining of crude oil is the variability in the properties of the crude oil. For example, there exist crude oils that, at room temperature, have a consistency similar to that of heavy motor oil. There also exist crude oils that, at the same temperature, have the consistency of asphalt. Although commonly thought of as black, crude oil can be brown, yellow, green, or red. There even exist crude oils that are fluorescent. These differences are manifestations of vastly different hydrocarbon mixtures found in different oil fields throughout the world.
- the physical and chemical processes associated with refining crude oil depend, to a great extent, on the oil's physical and chemical properties. These properties, in turn, depend on the oil's component hydrocarbons and their respective concentrations.
- the process of blending several varieties of crude oil to form a petroleum mixture appropriate for a particular refinery requires up-to-date knowledge of the values of selected properties of the various crude oil constituents of that mixture. These selected properties include the oil's aromaticity, boiling point, flash point, cloud point, viscosity, pour point, API gravity, freeze point, octane, PIONA, and RNP. It is not, however, a simple matter to obtain quantitative knowledge of these properties.
- the above-mentioned properties of crude oils can be obtained through gas chromatography. However, this process is impractical for heavy-weight crudes because heavier components present in such crudes are insufficiently volatile to be desorbed from the chromatography column. These heavier components tend to remain in the column, thereby rendering the column unusable for further tests.
- An alternative method for obtaining physical and chemical properties of a crude oil is to observe the interaction of the crude oil with infrared radiation.
- this method is sensitive to the opacity of the crude oil. It is therefore ineffective for heavier, highly opaque crudes.
- the interaction between crude oil and infrared radiation is highly non-linear and temperature sensitive.
- Another method for obtaining the physical and chemical properties of crude oil is to perform laboratory tests on a sample. This, however, is a costly and time-consuming process. Because the crude oil varieties available for blending change from one tanker-load to the next, it is difficult to perform laboratory testing frequently enough to maintain up-to- date information about the properties of all crude oil varieties available for blending at any one time. Consequently, this method is not suitable for real-time control over the values of selected properties of the petroleum mixture.
- the method of the invention overcomes deficiencies in the prior art by performing real-time and on-line estimates of the values of selected properties of at least one constituent crude available for blending into a petroleum mixture.
- the result of this realtime estimate, together with the properties of the desired petroleum mixture, are provided to an automated controller.
- the controller calculates, in real-time, the correct amount of the constituent crude required to produce a petroleum mixture having desired values of the selected properties.
- a system incorporating the invention dynamically alters the relative amounts of the constituents of the blended petroleum mixture in response to variations in the values of the selected properties of each of the constituent crudes.
- the term real-time is used herein in a relative sense, with time typically measured in seconds or minutes. Such times suffice for control of crude oil blending on a commercial basis.
- a preferred practice of the invention employs nuclear magnetic resonance measurements in conjunction with the estimation of values of selected properties of each constituent crude.
- NMR measurements do not rely on optical or infrared radiation, and are therefore not affected by high opacity. Additionally, NMR measurements are relatively stable as a function of temperature. Consequently, reliable measurements can be made at the relatively high temperatures to which crude oils are often heated to move them through a pipeline.
- One practice of the invention includes the steps of imposing a steady magnetic field on a sample of a first constituent crude oil. With the steady magnetic field in place, an NMR sensor imposes a transient magnetic field on the first constituent and measures the response of the first constituent to this transient magnetic field. An NMR sensor generally does not provide values of the selected properties of the first constituent crude oil directly.
- the NMR sensor provides information regarding the chemical composition of the first constituent. More particularly, NMR measurements provide a spectroscopic designation of hydrogen chemistry present in the sample of material being measured. For this reason, the method of the invention includes the step of estimating the properties of the first constituent on the basis of its NMR measurement. Consequently, a computer system estimates, on the basis of this response, values of selected properties of the first constituent.
- These properties are then used to selectively blend the first constituent with a second constituent to form a blended petroleum mixture having desired values of selected properties.
- selected properties include aromaticity, boiling point, flash point, cloud point, viscosity, pour point, API gravity, freeze point, octane, PIONA, and RVP.
- the desired values of selected properties of a petroleum mixture are generally specified by an optimizer on the basis of constraints imposed by the particular refinery that is to process the blended petroleum mixture.
- the choice of these desired values can also be influenced by economic factors, such as the price and availability of different crudes and the sale price and demand for various products refined from the blended petroleum mixture.
- the method of the invention can be implemented with a feedback system that estimates the values of selected properties of the blended petroleum mixture and compares those estimated values with the desired values of those selected properties. The difference between the estimated values of the selected properties and the desired values of those properties is then used to adjust the relative quantities of the various constituents of the blended petroleum mixture.
- this estimate of the values of selected properties of the blended petroleum mixture is also made by using nuclear magnetic resonance to first determine NMR-responsive information regarding the composition and more particularly regarding the hydrogen chemistry of the blended mixture and by then estimating the values of the selected properties of the mixture from that measured information.
- the method of the invention can thus provide real-time estimates of the values of selected properties of a variety of crudes. Because the method of the invention relies on NMR rather than on optical techniques, the accuracy of these estimates can be essentially independent of the opacity or the temperature of the crude oil. As a result, the method of the invention is eminently suitable for blending a broad variety of crudes into a blended petroleum mixture having desired values of selected properties.
- a system for practice of the invention includes an optimizer for specifying desired values of selected properties of the petroleum mixture to be formed. The optimizer specifies the desired values on the basis of the characteristics of the refinery and, optionally, on the basis of economic factors.
- the system further includes a sensor for estimating the values of selected properties of at least one constituent available for blending into the mixture. These estimates, together with the desired values specified by the optimizer, are provided to a controller. On the basis of the estimated values from the sensor and the desired values from the optimizer, the controller determines the relative amounts of the constituents that are needed to form a petroleum mixture having the desired values of the selected properties.
- FIG. 1 shows a feedforward crude blending control system embodying features of the invention
- FIG. 2 shows details of the control system of FIG. 1; and FIG. 3 shows a modification of the control system of FIG. 2, configured to operate as a feedback control system.
- a petroleum blending system 10 incorporating principles of the invention accepts inputs from a tank farm 12 having a plurality of storage tanks 14a-n, three of which are shown in FIG 1. These inputs are typically different varieties of crude oil, each characterized by an input vector of properties. These input vectors are indicated in FIG. 1 by the symbols xicide x 2 , ...xicide associated with the individual storage tanks. The elements of a typical input vector x,- include values representing selected physical and chemical properties of the crude oil.
- the output of the blending system 10 is a blended mixture of the varieties of crude oil available in the tank farm 12. This blended mixture of crude oils is characterized by an output vector y having elements representative of selected physical and chemical properties of the blended mixture.
- FIG. 1 illustrates different variation of crude oil being piped to the refinery from a tank farm
- other sources of crude oil are available.
- one or more crude oil varieties may reach the refinery by pipeline directly from a well-head or from an oil tanker.
- the varieties of crude may reach the well from different tank farms.
- the petroleum blending system 10 selects the amounts of the individual crude oils required to achieve a blended mixture having an output vector optimized, for example, to maximize the refinery's revenues.
- This optimized output is given by a setpoint vector r provided by an optimizer 13.
- This setpoint vector r includes elements representing desired values of selected properties of the blended petroleum mixture.
- the optimizer 13 determines the setpoint vector on the basis of constraints imposed by the nature of the particular refinery that is to receive the blended petroleum mixture.
- the optimizer 13 can apply economic conditions, both present and forecast, to determine a setpoint vector.
- economic conditions can include purchase prices and availability of the various types of crude oil, the sale prices and demand for various products made from crude oil and the costs associated with the manufacture of those products.
- the optimizer 13 is typically implemented as software instructions executed on the programmable digital processor such as a general purpose digital computer. Information can be provided to the optimizer 13 by an operator using a keyboard. Alternatively, the optimizer 13 can accept information through a network connection. In one practice of the invention, the optimizer 13 is configured to monitor a global computer network, such as the internet, for key economic indicators to be used in determining the setpoint vector r.
- a suitable optimizer for practice of the invention is sold by Simulation Sciences of Brea, California under the name ROMEO.
- the petroleum blending system 10 is thus a multivariate control system that operates on a plurality of input vectors x,, x 2 , ...x aboard the fuel mixture to generate an output vector y that matches the setpoint vector r supplied by the optimizer 13.
- the output vector y includes elements representing the actual values of the selected properties of the petroleum mixture.
- the illustrated control system of FIG. 1 is a feedforward system because the output y is not fed back as an input. However, as discussed below, the invention is equally applicable to a feedback control system.
- FIG. 2 shows details of the petroleum blending system 10 of FIG. 1.
- a first storage tank 14a is connected to a first pipeline 16 for transport of a first variety of crude oil from the tank farm 12 to a blending station 18.
- the first pipeline 16 includes a first pump 20, to propel oil through the pipeline 16, and a first valve 22, to control the amount of oil delivered to the blending station 18.
- the position of the first valve 22 is under the control of a first actuator 23.
- a second storage tank 14b from the tank farm 12 is likewise connected to a second pipeline 26 for transport of a second variety of crude oil to the blending station 18.
- the second pipeline 26 includes a second pump 28 to propel oil through the pipeline 26 and a second valve 30 to control the amount of oil delivered to the blending station 18.
- the position of the second valve 30 is under the control of a second actuator 31.
- a first nuclear magnetic resonance (NMR) sensor 32 configured to sample the crude oil in the first pipeline
- a second NMR sensor 34 configured to sample the crude oil in the second pipeline 26 through a second shunt tube 35.
- One preferred NMR sensor 32, 34 employs the technology of the I/A Series NMR equipment available from The Foxboro Company, Foxboro, Massachusetts, U.S.A.
- the outputs of the first and second NMR sensors 32, 34 are provided to first and second chemometric modeling units 40, 42. These chemometric modeling units 40, 42 transform the outputs of the NMR sensors 32, 34 into a format suitable for a multivariate controller 36 to which they are connected.
- the multivariate controller 36 sends control signals to the first and second actuators 23, 31.
- the first and second actuators 23, 31 control the positions of the valves 22, 30 in such a way that the output vector y, which is indicative of properties of the blended mixture, is within some tolerance of the setpoint vector r provided by the optimizer 13.
- These properties can include aromaticity, boiling point, flash point, cloud point, viscosity, pour point, API gravity, freeze point, octane, PIONA, and RVP.
- a suitable chemometric modeling unit can be implemented on a programmable digital processor as a look-up table or as a mathematical model.
- the chemometric modeling unit can be local to the NMR sensor, as shown in FIG. 2.
- Another optional practice locates the chemometric modeling unit in the multivariate controller 36.
- the NMR sensors in the oil blending system 10 can also share a common chemometric modeling unit.
- Both the optimizer 13 and the multivariate controller 36 and the chemometric modeling unit are preferably implemented as software instructions executed on a programmable digital processor. In practice, these instructions are executed on a general purpose digital computer. To meet demanding performance requirements, the optimizer 13 and the multivariate controller 36 can be implemented in hardware, software, or with a combination of hardware and software.
- a multivariate process controller suitable for practice of the invention is sold by Simulation Sciences Inc. of Brea, California under the trade name CONNOSIEUR.
- the specific implementation details of the multivariate controller 36 and the optimizer 13 are known to those of ordinary skill in the art and do not affect the scope of this invention.
- FIG. 2 shows two distinct NMR sensors 32, 34, it will be appreciated that a single NMR sensor can be used, on a time-shared basis, for both the first and second pipelines 16, 26.
- a single NMR sensor may service one, two, or more crude oil sources depending on constraints imposed by the refinery's layout and infrastructure.
- the first pump 20 propels oil through the first pipeline 16.
- a sample of this oil is diverted to the first NMR sensor 32 through the first shunt tube 33.
- the remainder of the oil flows to the first valve 22, and, to the extent that the first valve 22 is open, to the blending station 18.
- the NMR sensor 32 imposes a steady magnetic field on this sample to align the magnetic dipole moments associated with the molecules in the sample. With the steady magnetic field in place, the NMR sensor 32 then imposes a transient magnetic field having a direction different from, and preferably orthogonal to, that of the steady magnetic field.
- This transient magnetic field temporarily aligns the dipoles from the sample in a direction other than that in which the static magnetic field aligns dipoles.
- the transient magnetic field is turned off, the dipoles in the sample spring back into the alignment imposed upon them by the steady magnetic field. As they do so, the dipoles generate an RF signal.
- the rate at which a particular dipole springs back to alignment with the steady magnetic field, and hence the frequency of the resulting RF signal, is characteristic of the type of molecule carrying that dipole.
- the RF spectrum thus generated provides a way of determining information regarding the chemical composition of the sample; more particularly, of determining the hydrogen chemistry of the sample.
- the NMR sensor 32 thus provides information on the chemical composition of the crude oil sample in the pipeline 16.
- This operation of converting the measured sample information into estimated values of selected properties is carried out by a first chemometric modeling unit 40 in communication with both the multivariate controller 36 and the NMR sensor 32.
- the input information to the first chemometric modeling unit 40 is the sample-responsive information measured by the NMR sensor 32.
- the output of the first chemometric modeling unit 40 is a corresponding set of estimated values of the selected properties.
- the second NMR sensor 34 and the chemometric modeling unit 42 operate in a manner identical to the first NMR sensor 32 and chemometric modeling unit 40.
- a chemometric modeling unit 40 suitable for practice of the invention is implemented by a digital processor executing instructions for estimating values of selected physical properties on the basis of the measured hydrogen chemistry of the crude oil sample. These instructions implement procedures that are well-known to those of ordinary skill in the art. Such procedures include establishing look-up tables, interpolating between values in a look-up table, or implementing mathematical models for estimating values of the selected properties. Although not required for practice of the invention, it is often desirable to place a third NMR sensor 44, together with an associated third chemometric modeling unit 46, at the output of the blending station 18, as shown in FIG. 3.
- This third NMR sensor 44 and its associated third chemometric modeling unit 46 operate in a manner identical to that discussed above in connection with the first NMR sensor 32 and its associated chemometric modeling unit 40.
- the output of the third chemometric modeling unit 46 which represents estimates of values of selected properties of the blended petroleum mixture, is fed back to the multivariate controller 36.
- the multivariate controller 36 can detect anomalies in the blended petroleum mixture that may be indicative of a system malfunction.
- the output of the third NMR sensor 44 can provide a feedback variable that the multivariate controller 36 processes to enhance generating the controlled variables, such as value positions, to attain the desired petroleum mixture.
- the NMR sensors 32, 34, 44 each have individual chemometric modeling units 40, 42, 46 associated with them.
- the blending system 10 can also be implemented with a single chemometric modeling unit connected to each of the NMR sensors and used by each NMR sensor on a time-sharing basis.
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP01959929A EP1276833A1 (en) | 2000-03-20 | 2001-01-12 | Crude oil blending method and system |
AU2001229407A AU2001229407A1 (en) | 2000-03-20 | 2001-01-12 | Crude oil blending method and system |
CA002403215A CA2403215A1 (en) | 2000-03-20 | 2001-01-12 | Crude oil blending method and system |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US53198900A | 2000-03-20 | 2000-03-20 | |
US09/531,989 | 2000-03-20 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2001070912A1 true WO2001070912A1 (en) | 2001-09-27 |
WO2001070912A8 WO2001070912A8 (en) | 2001-11-29 |
Family
ID=24119937
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2001/001066 WO2001070912A1 (en) | 2000-03-20 | 2001-01-12 | Crude oil blending method and system |
Country Status (6)
Country | Link |
---|---|
EP (1) | EP1276833A1 (en) |
CN (1) | CN1430663A (en) |
AU (1) | AU2001229407A1 (en) |
CA (1) | CA2403215A1 (en) |
RU (1) | RU2002128623A (en) |
WO (1) | WO2001070912A1 (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2005020118A1 (en) * | 2003-08-18 | 2005-03-03 | General Electric Company | Method and system for assessing and optimizing crude selection |
CN102663221A (en) * | 2012-03-02 | 2012-09-12 | 河海大学 | Optimization method of multi-crude oil multi-property blending |
CN105182927A (en) * | 2015-08-13 | 2015-12-23 | 北京中石润达科技发展有限公司 | Oil product onsite full-flow control method |
US9244052B2 (en) | 2011-12-22 | 2016-01-26 | Exxonmobil Research And Engineering Company | Global crude oil quality monitoring using direct measurement and advanced analytic techniques for raw material valuation |
WO2017007993A1 (en) * | 2015-07-09 | 2017-01-12 | Cameron International Corporation | Crude oil blending using total boiling point analysis |
US10246656B2 (en) | 2001-02-09 | 2019-04-02 | Sunoco Partners Marketing & Terminals L.P. | Versatile systems for continuous in-line blending of butane and petroleum |
US20200340971A1 (en) * | 2017-12-19 | 2020-10-29 | Schlumberger Technology Corporation | Methods and Systems for Crude Oil Blending with Quality and Composition Monitoring and Control |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102643662B (en) * | 2012-04-25 | 2014-09-17 | 南京富岛信息工程有限公司 | Crude oil blending optimization method |
CN103760771A (en) * | 2014-01-17 | 2014-04-30 | 华东理工大学 | Control method for gasoline pipeline blending |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4853337A (en) * | 1987-05-11 | 1989-08-01 | Exxon Chemicals Patents Inc. | Blending of hydrocarbon liquids |
US6159255A (en) * | 1998-12-11 | 2000-12-12 | Sunoco, Inc. (R&M) | Method for predicting intrinsic properties of a mixture |
-
2001
- 2001-01-12 RU RU2002128623/04A patent/RU2002128623A/en not_active Application Discontinuation
- 2001-01-12 CN CN 01809843 patent/CN1430663A/en active Pending
- 2001-01-12 WO PCT/US2001/001066 patent/WO2001070912A1/en not_active Application Discontinuation
- 2001-01-12 AU AU2001229407A patent/AU2001229407A1/en not_active Abandoned
- 2001-01-12 EP EP01959929A patent/EP1276833A1/en not_active Withdrawn
- 2001-01-12 CA CA002403215A patent/CA2403215A1/en not_active Abandoned
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4853337A (en) * | 1987-05-11 | 1989-08-01 | Exxon Chemicals Patents Inc. | Blending of hydrocarbon liquids |
US6159255A (en) * | 1998-12-11 | 2000-12-12 | Sunoco, Inc. (R&M) | Method for predicting intrinsic properties of a mixture |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10246656B2 (en) | 2001-02-09 | 2019-04-02 | Sunoco Partners Marketing & Terminals L.P. | Versatile systems for continuous in-line blending of butane and petroleum |
WO2005020118A1 (en) * | 2003-08-18 | 2005-03-03 | General Electric Company | Method and system for assessing and optimizing crude selection |
US7966331B2 (en) | 2003-08-18 | 2011-06-21 | General Electric Company | Method and system for assessing and optimizing crude selection |
TWI394092B (en) * | 2003-08-18 | 2013-04-21 | Gen Electric | Method and system for assessing and optimizing crude selection |
US9244052B2 (en) | 2011-12-22 | 2016-01-26 | Exxonmobil Research And Engineering Company | Global crude oil quality monitoring using direct measurement and advanced analytic techniques for raw material valuation |
CN102663221A (en) * | 2012-03-02 | 2012-09-12 | 河海大学 | Optimization method of multi-crude oil multi-property blending |
WO2017007993A1 (en) * | 2015-07-09 | 2017-01-12 | Cameron International Corporation | Crude oil blending using total boiling point analysis |
US10040041B2 (en) | 2015-07-09 | 2018-08-07 | Cameron International Corporation | Crude oil blending using total boiling point analysis |
EP3320336A4 (en) * | 2015-07-09 | 2019-03-20 | Cameron International Corporation | Crude oil blending using total boiling point analysis |
CN105182927A (en) * | 2015-08-13 | 2015-12-23 | 北京中石润达科技发展有限公司 | Oil product onsite full-flow control method |
US20200340971A1 (en) * | 2017-12-19 | 2020-10-29 | Schlumberger Technology Corporation | Methods and Systems for Crude Oil Blending with Quality and Composition Monitoring and Control |
US11754546B2 (en) * | 2017-12-19 | 2023-09-12 | Schlumberger Technology Corporation | Methods and systems for crude oil blending with quality and composition monitoring and control |
Also Published As
Publication number | Publication date |
---|---|
EP1276833A1 (en) | 2003-01-22 |
WO2001070912A8 (en) | 2001-11-29 |
AU2001229407A1 (en) | 2001-10-03 |
RU2002128623A (en) | 2004-08-20 |
CN1430663A (en) | 2003-07-16 |
CA2403215A1 (en) | 2001-09-27 |
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