A methanol synthesis process includes reacting a process gas containing hydrogen, carbon dioxide and carbon monoxide over a catalyst including shaped units formed from a reduced and passivated catalyst powder the powder including copper in the range 10-80% by weight, zinc oxide in the range 20-90% by weight, alumina in the range 5-60% by weight and optionally one or more oxidic promoter compounds selected from compounds of Mg, Cr, Mn, V, Ti, Zr, Ta, Mo, W, Si and rare earths in the range 0.01-10% by weight, to form a product gas, and condensing methanol, water and oxygenate by-products therefrom, wherein the total oxygenate by-product level in the condensate is below 500 ppm.

The invention relates to a catalyst and process for making syngas mixtures including hydrogen, carbon monoxide and carbon dioxide. The process comprises contacting a gaseous feed mixture containing carbon dioxide and hydrogen with the catalyst, where the catalyst comprises Mn oxide and an auxiliary metal oxide selected from the group consisting of La, Ca, K, W, Cu, Al and mixtures or combinations thereof. The process enables hydrogenation of carbon dioxide into carbon monoxide with high selectivity, and good catalyst stability over time and under variations in processing conditions. The process can be applied separately, but can also be integrated with other processes, both up-stream and/or down-stream including methane reforming or other synthesis processes for making products like alkanes, aldehydes, or alcohols.

Iron/carbon (Fe/C) nanocomposite catalysts are prepared for Fischer-Tropsch synthesis reaction. A preparation method includes steps of mixing iron hydrate salts and a mesoporous carbon support to form a mixture, infiltrating the iron hydrate salts into the carbon support through melt infiltration of the mixture near a melting point of the iron hydrate salts, forming iron-carbide particles infiltrated into the carbon support through calcination of the iron hydrate salts infiltrated into the carbon support under a first atmosphere, and vacuum-drying the iron-carbide particles after passivation using ethanol. Using such catalysts, liquid hydrocarbons are produced.

A fuel processing system for converting a logistical fuel and air into a liquid product comprising methanol. One such system comprises a fuel injection system configured to combine a logistical fuel and ambient air to produce a logistical fuel and air mixture, a synthesis gas production system configured to convert the logistical fuel and air mixture to synthesis gas, and a methanol synthesis system configured to convert the synthesis gas to a crude methanol liquid. Related methods are additionally disclosed.

A gasification-liquefaction disposal method, system and equipment for MSW are disclosed. The method involves the MSW pretreatment of dehydrating and separating, thus reducing water and inorganic substance content of the waste. Then, the MSW is introduced into a plasma gasifier (23) by a carbon dioxide air-sealed feeding device (13) and gasified therein to obtain hydrogen-rich syngas. The hydrogen-rich syngas is then cooled, deacidified, dedusted and separated to obtain carbon dioxide. Then, the hydrogen-rich syngas is catalyzed to produce methanol product in a methanol synthesis reactor (52). The separated carbon dioxide is sent back to a carbonation reaction chamber (2007) of a gasification system to perform carbonation reaction with calcium oxide, thereby releasing heat to provide assistant heat energy for gasification and avoiding greenhouse gas from being discharged into environment. Exhaust gas is returned to the plasma gasifier (23) for remelting treatment, thus forming a closed-loop circulation production system and realizing the disposal of the MSW with zero discharge and no pollution, thereby avoiding dioxin pollution and converting the MSW to chemical raw materials and fuel needed by mankind. The method, system and equipment are suitable for harmless and recycling disposal of MSW, industrial high polymer waste, composting waste and waste in waste sorting sites.

There is provided a method for upgrading hydrocarbon compounds, in which hydrocarbon compounds synthesized in a Fisher-Tropsch synthesis reaction are fractionally distillated, and the fractionally distillated hydrocarbon compounds are hydrotreated to produce liquid fuel products. The method includes fractionally distilling heavy hydrocarbon compounds synthesized in the Fisher-Tropsch synthesis reaction as a liquid into a first middle distillate and a wax fraction, and fractionally distilling light hydrocarbon compounds synthesized in the Fisher-Tropsch synthesis reaction as a gas into a second middle distillate and a light gas fraction.

In a synthesis gas methanation process, at least one first fraction of synthesis gas to treat is fed, together with steam, to a shift reactor where a shift reaction occurs; the gas flow produced in the shift reactor is then fed to a first methanation reactor where a methanation reaction occurs and then to further second methanation reactors in series, where further methanation reactions, performed with the addition of fresh synthesis gas which has not been subjected to the shift reaction.

A process for producing hydrocarbons and, optionally, oxygenates of hydrocarbons is provided. A synthesis gas comprises hydrogen, carbon monoxide and N-containing contaminants selected from the group consisting of HCN, NH3, NO, RXNH3-X, R1—CN and heterocyclic compounds containing at least one nitrogen atom as a ring member of a heterocyclic ring of the heterocyclic compound. The N-containing contaminants constitute, in total, at least 100 vppb but less than 1 000 000 vppb of the synthesis gas. The synthesis gas is contacted at an elevated temperature and an elevated pressure, with a particulate supported Fischer-Tropsch synthesis catalyst. The catalyst comprises a catalyst support, Co in catalytically active form supported on the catalyst support, and a dopant selected from the group consisting of platinum (Pt), palladium (Pd), ruthenium (Ru) and/or rhenium (Re). The dopant level is expressed by a formula. Hydrocarbons and, optionally, oxygenates of hydrocarbons are obtained.

The present invention pertains to a reactor tube comprising a fixed bed of Fischer-Tropsch catalyst particles, wherein the catalyst particles in 5% to 40% of the fixed bed volume at the upstream end have an average outer surface to volume ratio (S/V) in the range of between 3.0 to 4.5 mm−1, and the catalyst particles in the remaining fixed bed volume have an average outer surface to volume ratio (S/V) in the range of between 4.5 to 8.0 mm−1, and wherein the difference between the average S/V of the particles at the upstream end and the average S/V of the particles in the remaining fixed bed volume is at least 0.5 mm−1.

A process for sulfiding a cobalt-molybdenum bulk catalyst precursor to form a bulk sulfided alcohol synthesis catalyst. The process steps include contacting an oxidic bulk cobalt-molybdenum catalyst precursor with an amount of a sulfur-containing compound which is in the range of about 1 to about 10 moles of sulfur per mole of metals, at one or more temperatures at or in excess of about 300° C. in a medium which is substantially devoid of added hydrogen, so as to form a sulfided bulk cobalt-molybdenum catalyst product. Also described are processes for forming the catalyst precursor, processes for producing an alcohol using the catalyst product and the catalyst product itself.

A process for improving the hydrogen content of a synthesis gas stream to a synthesis loop, comprising the steps of: (a) removing a purge stream comprising hydrogen and hydrocarbons from a synthesis loop; (b) separating hydrogen from the purge stream; (c) passing the purge stream to a reformer and reacting with steam and oxygen to produce a stream comprising hydrogen and carbon monoxide; (d) subjecting the reformed reaction product stream to a shift reaction to produce a stream comprising carbon dioxide and hydrogen; (e) subjecting the product stream from the shift reaction to separation to separate hydrogen from carbon dioxide; (f) supplying the separated hydrogen to the synthesis loop; and (g) removing the carbon dioxide.

The present invention provides a process for producing a hydrocarbon oil by performing a Fischer-Tropsch synthesis reaction using a reactor for a Fischer-Tropsch synthesis including a reaction apparatus having a slurry containing catalyst particles and a gaseous phase located above the slurry to obtain a hydrocarbon oil, wherein the Fischer-Tropsch reaction is performed while controlling a temperature of the slurry so that a difference T2−T1 between the average temperature T1 of the slurry and a temperature T2 at the liquid level of the slurry in contact with the gaseous phase is 5 to 30° C.

Catalyst compositions comprising molybdenum, sulfur and an alkali metal ion supported on a nanofibrous, mesoporous carbon molecular sieve are useful for converting syngas to higher alcohols. The compositions are produced via impregnation and may enhance selectivity to ethanol in particular.

A method for producing synthetic hydrocarbons from at least one carbonaceous material is provided. The method includes evaluating the resources of the carbonaceous material available on a determined territory; determining from the resources a total production capacity of synthetic hydrocarbons; determining from the total production capacity, a number of elementary production units required for obtaining the total production capacity, each elementary production unit having an elementary production capacity between a 100 and a 1,000 barrels a day of synthetic hydrocarbons; building the number of elementary production units on the territory; transporting the carbonaceous material from the territory as far as the elementary production units; producing the synthetic hydrocarbons in the elementary production units from the transported carbonaceous material.

The invention pertains to a reactor tube comprising a fixed bed of Fischer-Tropsch catalyst particles, wherein the catalyst particles in 5%-40% of the fixed bed volume at the upstream end have an average outer surface to volume ratio (S/V) of between 3.0 to 4.5 mm-1, and the remaining catalyst particles have an average S/V of between 4.5 to 8.0 mm-1, and wherein the difference between the average S/V of the particles at the upstream end and the remaining fixed bed volume is at least 0.5 mm-1. Additionally the fixed bed volume at the upstream end shows a full-bed apparent catalytic activity per volume unit lower than the full-bed apparent catalytic activity per volume unit in the remaining fixed bed volume and/or the weight of catalytically active metal per weight unit at the upstream end is more than 70% lower than in the remaining fixed bed volume.

Systems and methods for producing a synthetic natural gas are provided. A syngas can be separated into a first syngas, a second syngas, and a third syngas. The first syngas can be methanated to produce a first effluent. The first effluent can be mixed with the second syngas to produce a first mixed effluent. The first mixed effluent can be methanated to produce a second effluent. The second mixed effluent can be methanated to produce a third effluent. The third effluent can be cooled to produce a first cooled effluent. The first cooled effluent can be cooled to produce a synthetic natural gas.

The present invention relates generally to processes for hydromethanating a carbonaceous feedstock in a hydromethanation reactor to a methane product stream and a char by-product, and more specifically to removal of the char by-product from the hydromethanation reactor.

Disclosed are hybrid Fischer-Tropsch catalysts containing cobalt deposited on hybrid supports. The hybrid supports contain an acidic zeolite component and a silica-containing material. It has been found that the use of the hybrid Fischer-Tropsch catalysts in synthesis gas conversion reactions results in high C5+ productivity, high CO conversion rates and low olefin formation.

Disclosed is a process for converting a reactant composition comprising H2 and CO to a product comprising at least one aliphatic hydrocarbon having at least about 5 carbon atoms, the process comprising: flowing the reactant composition through a microchannel reactor in contact with a Fischer-Tropsch catalyst to convert the reactant composition to the product, the microchannel reactor comprising a plurality of process microchannels containing the catalyst; transferring heat from the process microchannels to a heat exchanger; and removing the product from the microchannel reactor; the process producing at least about 0.5 gram of aliphatic hydrocarbon having at least about 5 carbon atoms per gram of catalyst per hour; the selectivity to methane in the product being less than about 25%. Also disclosed is a supported catalyst comprising Co, and a microchannel reactor comprising at least one process microchannel and at least one adjacent heat exchange zone.

A synthesis gas conversion process and system are disclosed. Fresh syngas from a methane reformer is used as a sweep zone gas feed which is caused to flow across a water permselective membrane in a membrane reactor. The water permselective membrane is adjacent a synthesis gas conversion reaction zone in which synthesis gas is contacted with a catalyst and converted to effluent including water. Water is removed from the reaction zone through the membrane and passes out of the reactor with the sweep zone gas. The water is then removed from the sweep zone gas forming a modified gas feed which is fed to the reaction zone. The modified gas feed has a preferred H2/CO ratio to feed into the reaction zone.

A process for the synthesis of methanol, comprising the steps of reforming a hydrocarbon source obtaining a make-up gas feed (101), feeding said make up gas to a synthesis loop (L), converting said make up gas to methanol (108) in a substantially isothermal catalytic environment, wherein said catalytic environment comprises a plurality of isothermal catalytic beds (11, 12, 21) preferably arranged in series, and at least a portion of make-up gas (101) is mixed with recycle gas (112) from the loop (L), obtaining a gaseous mixture of fresh gas and recycle gas, and at least a portion of said gaseous mixture is directed between two consecutive catalytic beds acting as a quench gas. A related plant is also disclosed.

A fluid flow is simulated by causing a computer to perform operations on data stored in the memory to compute at least one eddy of a fluid flow at a first scale and perform operations to compute at least one eddy of the fluid flow at both the first scale and a second scale. The second scale is a finer scale than the first scale, and the computation of the at least one eddy of the fluid flow at the second scale is constrained by results of the computation of the at least one eddy of the fluid flow at the first scale.

A method of modelling a hydrocarbon-containing reservoir which is representative of such reservoir in at least one physical characteristic such as reservoir porosity or permeability. Data, such as reservoir porosity is firstly determined. Such data is then transformed into printing instructions for a 3D printer. The 3D printer is used to print a reduced-scale model which is representative of the reservoir in respect of the at least one physical characteristic, such as reservoir porosity. A method of comparative testing of different hydrocarbon recovery techniques on a single hydrocarbon-containing reservoir is also disclosed and claimed.

A production simulator (2), for simulating a mature hydrocarbon field, providing quantity produced (Qφktb) per phase, per well, per layer (or group of layers) and per time as a function of production parameters (PP), wherein the production simulator (2) matches history data (HD) of the mature hydrocarbon field and verifies a Vapnik condition.

A computer-implemented method, system, and computer program product are disclosed for updating simulation models of a subterranean reservoir. An ensemble of reservoir models representing a subterranean reservoir having non-Gaussian characteristics is provided and the ensemble of reservoir models is updated using a subspace ensemble Kalman filter. Kemal principle component analysis parameterization or K-L expansion parameterization can be used to update the ensemble of reservoir models.

Systems and methods for subsurface secondary and/or tertiary oil recovery optimization based on either a short term, medium term or long term optimization analysis of selected zones, wells, patterns/clusters and/or fields.

A system for intelligent monitoring and management of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a real-time energy pricing engine, virtual system modeling engine, an analytics engine, a machine learning engine and a schematic user interface creator engine. The real-time energy pricing engine generates real-time utility power pricing data. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The machine learning engine stores acid processes patterns observed from the real-time data output and the predicted data output to forecast an aspect of the electrical system.

Methods and systems are provided for executing a simulation of an operation in a data processing system. In one implementation, the method includes executing an operation under a first set of conditions, determining a characteristic associated with the execution of the operation under the first set of conditions, and executing a simulation of the operation under a second set of conditions different from the first set of conditions. The simulation of the operation is constrained by the determined characteristic. The method can further include determining a cost/benefit of executing the operation under a set of conditions different from the first set of conditions based at least in part on the simulation.

Dynamics simulations are described. Dynamics simulations can include identifying a number of ink related components and a number of printing interactions. Dynamics simulations can also include generating a granular representation of the number of ink related components and calculating a number of Hamaker constants based on the granular representation of the number of ink related components. Dynamics simulations can include performing a dynamics simulation based on the number of Hamaker constants, the granular representation of the number of ink related components, and the number of printing interactions.

A design system for generating a power equipment proposal for a particular location, comprises an insolation database, a load database, and a processing system. The insolation database comprises insolation values associated with a plurality of geographic data points. The load database associates appropriate power equipment with load requirements. The processing system generates at least one power equipment proposal based on load requirements generated from the insolation database based on the insolation values associated with a geographic data point closest to the particular location and solar power equipment appropriately selected from the load database based on the load requirements generated from the insolation database.

Methods, systems, and apparatus, including computer program products, for determining energy indicator values for a plurality of thermoplastic materials. An energy indicator value represents expected energy requirements for performing an injection of the material in a mold cavity. An injection of each of a plurality of thermoplastic materials in a first modeled mold cavity is simulated. A respective value of a first expected energy parameter is determined for each of the plurality of thermoplastic materials based on the simulated injections. A respective energy indicator is determined, for each of the plurality of thermoplastic materials, based at least on the corresponding value of the first expected energy parameter. The respective energy indicator value of one or more of the plurality of thermoplastic materials is presented.

Methods are provided herein for: calculating cell growth rates in various environments and genetic backgrounds; calculating the order of substrate utilization from a defined growth medium; calculating metabolic flux reorganization in various environments and at various growth rates; and calculating the maximum metabolic rate and optimal metabolite concentrations and enzyme activities by applying a computational optimization method to a kinetic model of a metabolic pathway. The optimization methods use intracellular molecular crowding parameters and/or well as kinetic rates to assist in modeling metabolic activity.

In a method for simulating temperature and electrical characteristics within an circuit, a temperature of at least one volume within the circuit as a function of a resistance within the at least one volume is repeatedly calculated and the resistance as a function of the temperature is repeatedly calculated until the temperature is within a predetermined tolerance of a previous temperature result and until the resistance is within a predetermined tolerance of a previous resistance result. Once the temperature is within a predetermined tolerance of the previous temperature result and the resistance is within a predetermined tolerance of the previous resistance, then an output indicative of the temperature is generated.

The systems and methods of the present disclosure calibrate impedance loss model parameters associated with an electrosurgical system having no external cabling or having external cabling with a fixed or known reactance, and obtain accurate electrical measurements of a tissue site by compensating for impedance losses associated with the transmission line of an electrosurgical device using the calibrated impedance loss model parameters. A computer system stores voltage and current sensor data for a range of different test loads and calculates sensed impedance values for each test load. The computer system then predicts a phase value for each load using each respective load impedance value. The computer system back calculates impedance loss model parameters including a source impedance parameter and a leakage impedance parameter based upon the voltage and current sensor data, the predicted phase values, and the impedance values of the test loads.

The cost necessary for introducing and maintaining a development environment that includes multiple simulators is suppressed, and a sharing of designing information is promoted, to make parameter adjustment of simulators easy. Provided is a service that unifies development environment on a computer provided with: a working computer system that can guarantee that there is no leaking of designing files; a user behavior monitoring system that collects utilization history of simulators or software, for each of the users, and selects development process of each of the users from the collected information; and a dynamic computational-resource distribution system that can conduct an automatic optimization of a complex simulation configuration, from information collected by the aforementioned user behavior monitoring system.

The invention is directed to methods for determining clonotypes and clonotype profiles in assays for analyzing immune repertoires by high throughput nucleic acid sequencing of somatically recombined immune molecules. In one aspect, the invention comprises generating a clonotype profile from an individual by generating sequence reads from a sample of recombined immune molecules; forming from the sequence reads a sequence tree representing candidate clonotypes each having a frequency; coalescing with a highest frequency candidate clonotype any lesser frequency candidate clonotypes whenever such lesser frequency is below a predetermined value and whenever a sequence difference therebetween is below a predetermined value to form a clonotype. After such coalescence, the candidate clonotypes is removed from the sequence tree and the process is repeated. This approach permits rapid and efficient differentiation of candidate clonotypes with genuine sequence differences from those with experimental or measurement errors, such as sequencing errors.

Various technologies described herein pertain to computing surface normals for points in a point cloud. The point cloud is representative of a measured surface of a physical object. A point in the point cloud can be set as a point of origin, and points in the point cloud can be modeled as electrostatic point charges. Moreover, a point of least electrostatic potential on a sphere centered at the point of origin can be computed as a function of the electrostatic point charges. Further, unit vector with a direction from the point of origin to the point of least electrostatic potential on the sphere can be assigned as a normal for the point of origin.

A computer method of material modeling for crash test dummy finite element models includes the steps of making a material card for the material, applying the material card to validate a finite element model of a crash test dummy component, determining whether the finite element model is acceptable, ending the method if the finite element model is acceptable, and adjusting a relative volume (J) range for the material to make the material soft or stiff if the finite element model is not acceptable.

A system and method is taught to substantially automate forecasting for a hydrocarbon producing reservoir through integration of modeling module workflows. A control management module automatically generates static and dynamic offspring models, with static and dynamic modeling software, until a performance objective associated with the forecasting of the reservoir is satisfied. The performance objective can include an experimental design table to determine a sensitivity of a particular parameter or can be directed towards reservoir optimization, i.e., ultimate hydrocarbon recovery, net present value, reservoir percentage yield, reservoir fluid flow rate, or history matching error.

Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising acquiring an anatomical model of at least part of the patient's vascular system; performing, using a processor, one or more of geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical model; and identifying, using the processor, a personalized cardiovascular device for the patient, based on results of one or more of the geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of anatomical model.

Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising: generating a patient specific model of at least a portion of a patient's vasculature from image data of the patient's vasculature and one or more measured or estimated physiological or phenotypic parameters of the patient; determining pathology characteristics from cardiovascular geometry of the patient specific model; defining an objective function for a device based on design considerations and one or more estimates of hemodynamic and mechanical characteristics; optimizing the objective function, by simulating at least one change in devices and evaluating the objective function using fluid dynamic or structural mechanic analysis; and using the optimized objective function to either (i) select a device from a set of available devices or (ii) manufacture a desired device.

The disclosed technology provides a manufacturing method of a target comprising obtaining an initial mass and a residual mass of the target sample, and calculating an etching mass; determining a relative etching depth of the target sample; calculating a relative etching mass based on the etching mass and the relative etching depth; determining a utilization parameter of the target sample based on the relative etching mass and the initial mass of the target sample before being used; and performing a simulation and optimization process on the utilization parameter of the target sample, obtaining target parameters corresponding to a preset value of the utilization parameter, and outputting the target parameters to a manufacturing control center for manufacturing a target. The disclosed technology also provides a manufacturing system of a target.

A method (and system) of emulation in a multiprocessor system, includes performing an emulation in which a host multiprocessing system of the multiprocessor system supports a weak consistency model, and the target multiprocessing system of the multiprocessor system supports a strong consistency model.

An apparatus, system and method are introduced for preserving privacy of data in a dataset in a database with a number n of entries. In one embodiment, the apparatus includes memory including computer program code configured to, with a processor, cause the apparatus to form a random matrix of dimension m by n, wherein m is less than n, operate on the dataset with the random matrix to produce a compressed dataset, form a pseudoinverse of the random matrix, and operate on the dataset with the pseudoinverse of the random matrix to produce a decompressed dataset.

A method for computer-aided closed and/or open-loop control of a technical system is provided. A first value of an output quantity is predicted on a data-based model at a current point in time. A second value of the output quantity is determined from an analytical model. The state of the technical system at the current point is assigned a confidence score in the correctness of prediction of the data-based model. A third value of the output quantity is determined from the first and second value as a function of the confidence score for controlling the technical system. A suitable value for the output quantity can be derived from the analytical model even for regions of the technical system in which the quality of prediction of the data-based model is low because of a small set of training data. The technical systems can be turbines, such as gas turbines.

A method and apparatus for data processing. The method calculates correlations between a plurality of attributes in a dataset. The attributes are factors involved in transaction processing. The method generates a relationship graph by using the plurality of attributes and the correlations between the plurality of attributes; and extracts a sub-graph from the relationship graph to represent a hypothesis. The hypothesis describes the impacts of the factors on the transaction processing. Also provided is an apparatus for implementing the above data processing method.

A method of providing data included in a building information modeling (BIM) data file using a server is provided. The method includes retrieving mapping data corresponding to a user request, extracting data corresponding to at least one entity mapped to the mapping data from the BIM data file, and transmitting the extracted data to a client.

Various technologies and techniques are disclosed for using transactional memory hardware to accelerate virtualization or emulation. State isolation can be facilitated by providing isolated private state on transactional memory hardware and storing the stack of a host that is performing an emulation in the isolated private state. Memory accesses performed by a central processing unit can be monitored by software to detect that a guest being emulated has made a self modification to its own code sequence. Transactional memory hardware can be used to facilitate dispatch table updates in multithreaded environments by taking advantage of the atomic commit feature. An emulator is provided that uses a dispatch table stored in main memory to convert a guest program counter into a host program counter. The dispatch table is accessed to see if the dispatch table contains a particular host program counter for a particular guest program counter.

Systems and methods are provided for evaluating performance of forecasting models. A plurality of forecasting models may be generated using a set of in-sample data. Two or more forecasting models from the plurality of forecasting models may be selected for use in generating a combined forecast. An ex-ante combined forecast may be generated for an out-of-sample period using the selected two or more forecasting models. The ex-ante combined forecast may then be compared with a set of actual out-of-sample data to evaluate performance of the combined forecast.

Disclosed herein are methods, compositions and tools for repairing articular surfaces repair materials and for repairing an articular surface. The articular surface repairs are customizable or highly selectable by patient and geared toward providing optimal fit and function. The surgical tools are designed to be customizable or highly selectable by patient to increase the speed, accuracy and simplicity of performing total or partial arthroplasty.