Patent Publication Number: US-2020300065-A1

Title: Damage accumulation metering for remaining useful life determination

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application claims priority to and the benefit of co-pending U.S. Provisional Patent Application Ser. No. 62/821,193 filed Mar. 20, 2019 titled “DAMAGE ACCUMULATION METERING FOR REMAINING USEFUL LIFE DETERMINATION,” the full disclosure of which is hereby incorporated herein by reference in its entirety for all purposes. 
    
    
     BACKGROUND 
     1. Technical Field 
     This disclosure relates generally to oilfield equipment and more particularly to systems and methods for tracking equipment damage and remaining useful life. 
     2. Background 
     Oil and gas operations, such as hydraulic fracturing, utilize many types of equipment such as pumps, manifolds, and engines, among others. These pieces of equipment are susceptible to wear and damage over time, which consumes its useful life. Currently, preventative maintenance may be performed according to a schedule based on operating time, cycles, set intervals of time or the like. Similarly, useful life is also generally determined based on factors such as total operating time. These conventional methods utilize very broad rules for maintenance scheduling and useful life calculations, which may not be very precise. This means that maintenance or equipment replacement may be performed when not actually needed, which is wasteful. Conversely, maintenance or equipment replacement may not be performed when actually needed, leading to equipment failures, which are also costly. 
     SUMMARY 
     The present disclosure is directed to systems and methods for tracking damage accumulation of equipment in order to determine maintenance and useful life determinations. The systems and method of this disclosure use the intelligence gathered from a piece of machinery indicating the condition at which it was operating. This provides the most accurate indication of when and what type of maintenance or other procedures need to be performed on a piece of equipment. Damage accumulation rate is a number that calculates the rate at which a piece of equipment is accumulating damage. The faster that a piece of equipment accumulates damage, then the faster it will consume its useful life. The lower the damage accumulation rate number, then the slower that a piece of equipment will consume its useful life. This rate is a method of monitoring current operating conditions for a piece of machinery and classifying it at varying levels of health. Taking this information, an algorithm is created that tracks and accumulates the total history of a piece of machinery to better predict events such as maintenance, failures, and other issues. Thus, a countdown of remaining useful life can be created based on this. This information can update daily or any other determined time frame to display a percent life (%) remaining. 
     In some embodiments, a hydraulic fracturing system with damage accumulation monitoring includes a pump system fluidly coupled to a wellhead at a wellsite to pump a fracturing fluid into the wellhead, a blender configured to mix together proppant and a fluid mixture to form the fracturing fluid, a proppant storage and delivery system configured to provide the proppant for the blender, a hydration unit configured to mix an additive into a fluid to form the fluid mixture and provide the fluid mixture to the blender, a fluid storage and delivery system configured to provide the fluid for the hydration unit, an additive storage and delivery system configured to provide the additive to the hydration unit, and a damage accumulation monitoring system. The damage accumulation monitoring system includes a plurality of sensing devices and integrated into one or more components of the pump system, the blender system, the proppant storage and delivery system, the fluid storage and delivery system, and the additive storage and delivery system. The damage accumulation sensor system is configured to monitor a plurality of parameters of the hydraulic fracturing system via the plurality of sensing devices to determine respective accumulated damage measurements of the one or more components. In some embodiments, the accumulated damage measurement of a component is indicative of an amount of actual usage incurred by the component during a period of time. The damage accumulation monitoring system may further determine an estimated remaining life of the component based on the accumulated damage measurement, wherein the estimated remaining life is expressed as a percentage. The damage accumulation monitoring system may further determine a damage accumulation rate based on the accumulated damage measurement with respect to the duration of the period of time. The damage accumulation monitoring system may further determine an estimated maintenance time based on the damage accumulation rate and the accumulated damage measurement. The damage accumulation monitoring system can update the damage accumulation rate over time as usage changes. The accumulated damage measurement is based at least in part on one or more of a set of parameters such as operation time, observed cycles, amount pumped, fuel consumed, power consumed, number of start/stops, or amount of flow. 
     In some embodiments, a hydraulic fracturing system with damage accumulation monitoring includes a plurality of hydraulic fracturing equipment positioned at a wellsite, including one or more pumps configured to pressurize a fracturing fluid and a distribution system fluidly coupled to receive and consolidate fracturing fluid from the plurality of pumps for injection into a wellhead. The hydraulic fracturing system also includes a damage accumulation monitoring system, including a plurality of sensing devices integrated into respective components of the plurality of hydraulic fracturing equipment, the plurality of sensing devices configured to measure a plurality of usage parameters of the respective components, and a processing device configured to receive the plurality of usage parameters and determine respective damage accumulation measurements of the respective components based at least in part on the usage parameters. The accumulated damage measurement of a component is indicative of an amount of actual usage incurred by the component during a period of time. The damage accumulation monitoring system further determines an estimated remaining life of the component based on the accumulated damage measurement, wherein the estimated remaining life is expressed as a percentage. The damage accumulation monitoring system further determines a damage accumulation rate based on the accumulated damage measurement with respect to the duration of the period of time. The damage accumulation monitoring system further determines an estimated maintenance time based on the damage accumulation rate and the accumulated damage measurement. The damage accumulation monitoring system updates the damage accumulation rate over time. The use parameters include one or more of a set of parameters including operation time, observed cycles, amount pumped, fuel consumed, power consumed, number of start/stops, or amount of flow. 
     In some embodiments, a hydraulic fracturing method includes providing a fracturing fluid to a plurality of pumps, pumping the fracturing fluid into a distribution system, injecting the fracturing fluid into a wellhead, detecting respective usage parameters associated with of a plurality of components of the plurality of pumps, the distribution system, or the wellhead via a plurality of sensing devices instrumented thereon, and determining a damage accumulation parameter associated with of a plurality of components of the plurality of pumps, the distribution system, or the wellhead based at least in part on the respective usage parameters. The accumulated damage parameter of a component is indicative of an amount of actual usage incurred by the component during a period of time. The method further includes determining an estimated remaining life of the component based on the accumulated damage parameter, wherein the estimated remaining life is expressed as a percentage. The method further includes determining a damage accumulation rate based on the accumulated damage parameter with respect to the duration of the period of time. The method further includes determining an estimated maintenance time based on the damage accumulation rate and the accumulated damage parameter. The method further includes updating the damage accumulation rate over time. 
    
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
       Some of the features and benefits of the present disclosure having been stated, others will become apparent as the description proceeds when taken in conjunction with the accompanying drawings, in which: 
         FIG. 1  is a schematic plan view of an embodiment of a fracturing operation, in accordance with embodiments of the present disclosure. 
         FIG. 2  is a schematic diagram of an embodiment of a hydraulic fracturing system with damage accumulation monitoring, in accordance with embodiments of the present disclosure. 
         FIG. 3  illustrates a fracturing pump system with damage accumulation monitoring, in accordance with embodiments of the present disclosure. 
         FIG. 4A  illustrates fluid end failures based on pumping hours. 
         FIG. 4B  illustrates fluid end failures based on number of months in operation. 
         FIG. 4C  illustrates fluid end failures based on a total damage accumulation metric, according to the techniques provided in the present disclosure. 
         FIG. 4D  illustrates a correlation between pumping hours and damage accumulation rates, in accordance with embodiments of the present disclosure. 
         FIG. 5  is a diagram of communicative components of a hydraulic fracturing system with damage accumulation monitoring, in accordance with embodiments of the present disclosure. 
         FIG. 6  is a diagram of communicative components of hydraulic fracturing system with damage accumulation monitoring, in accordance with embodiments of the present disclosure. 
         FIG. 7  is a flow chart of an embodiment of a hydraulic fracturing method with damage accumulation monitoring, in accordance with embodiments of the present disclosure. 
         FIG. 8  is a block diagram of an embodiment of a control system of a hydraulic fracturing system with damage accumulation monitoring, in accordance with embodiments of the present disclosure. 
     
    
    
     While the disclosure will be described in connection with the preferred embodiments, it will be understood that it is not intended to limit the disclosure to that embodiment. On the contrary, it is intended to cover all alternatives, modifications, and equivalents, as may be included within the spirit and scope of the disclosure as defined by the appended claims. 
     DETAILED DESCRIPTION 
     The method and system of the present disclosure will now be described more fully hereinafter with reference to the accompanying drawings in which embodiments are shown. The method and system of the present disclosure may be in many different forms and should not be construed as limited to the illustrated embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey its scope to those skilled in the art. Like numbers refer to like elements throughout. In an embodiment, usage of the term “about” includes +/−5% of the cited magnitude. In an embodiment, usage of the term “substantially” includes +/−5% of the cited magnitude. 
     It is to be further understood that the scope of the present disclosure is not limited to the exact details of construction, operation, exact materials, or embodiments shown and described, as modifications and equivalents will be apparent to one skilled in the art. In the drawings and specification, there have been disclosed illustrative embodiments and, although specific terms are employed, they are used in a generic and descriptive sense only and not for the purpose of limitation. 
     When introducing elements of various embodiments of the present disclosure, the articles “a”, “an”, “the”, and “said” are intended to mean that there are one or more of the elements. The terms “comprising”, “including”, and “having” are intended to be inclusive and mean that there may be additional elements other than the listed elements. Any examples of operating parameters and/or environmental conditions are not exclusive of other parameters/conditions of the disclosed embodiments. Additionally, it should be understood that references to “one embodiment”, “an embodiment”, “certain embodiments”, or “other embodiments” of the present disclosure are not intended to be interpreted as excluding the existence of additional embodiments that also incorporate the recited features. Furthermore, reference to terms such as “above”, “below”, “upper”, “lower”, “side”, “front”, “back”, or other terms regarding orientation or direction are made with reference to the illustrated embodiments and are not intended to be limiting or exclude other orientations or directions. Additionally, recitations of steps of a method should be understood as being capable of being performed in any order unless specifically stated otherwise. Furthermore, the steps may be performed in series or in parallel unless specifically stated otherwise. 
       FIG. 1  is a plan schematic view of an embodiment of a hydraulic fracturing system  10  positioned at a well site  12 . In the illustrated embodiment, pump trucks  14 , which make up a pumping system  16 , are used to pressurize a slurry solution for injection into a wellhead  18 . An optional hydration unit  20  receives fluid from a fluid source  22  via a line, such as a tubular, and also receives additives from an additive source  24 . In an embodiment, the fluid is water and the additives are mixed together and transferred to a blender unit  26  where proppant from a proppant source  28  may be added to form the slurry solution (e.g., fracturing slurry) which is transferred to the pumping system  16 . The pump trucks  14  may receive the slurry solution at a first pressure (e.g., 80 psi to 160 psi) and boost the pressure to around 15,000 psi for injection into the wellhead  18 . In certain embodiments, the pump trucks  14  are powered by electric motors. 
     After being discharged from the pump system  16 , a distribution system  30 , such as a missile, receives the slurry solution for injection into the wellhead  18 . The distribution system  30  consolidates the slurry solution from each of the pump trucks  14  and includes discharge piping  32  coupled to the wellhead  18 . In this manner, pressurized solution for hydraulic fracturing may be injected into the wellhead  18 . In the illustrated embodiment, one or more sensors  34 ,  36  are arranged throughout the hydraulic fracturing system  10  to measure various properties related to fluid flow, vibration, and the like. 
     It should be appreciated that while various embodiments of the present disclosure may describe electric motors powering the pump trucks  14 , in embodiments, electrical generation can be supplied by various different options, as well as hybrid options. Hybrid options may include two or more of the following electric generation options: Gas turbine generators with fuel supplied by field gas, CNG, and/or LNG, diesel turbine generators, diesel engine generators, natural gas engine generators, batteries, electrical grids, and the like. Moreover, these electric sources may include a single source type unit or multiple units. For example, there may be one gas turbine generator, two gas turbines generators, two gas turbine generators coupled with one diesel engine generator, and various other configurations. 
     In various embodiments, equipment at the well site may utilize 3 phase, 60 Hz, 690V electrical power. However, it should be appreciated that in other embodiments different power specifications may be utilized, such as 4160V or at different frequencies, such as 50 Hz. Accordingly, discussions herein with a particular type of power specification should not be interpreted as limited only the particularly discussed specification unless otherwise explicitly stated. Furthermore, systems described herein are designed for use in outdoor, oilfield conditions with fluctuations in temperature and weather, such as intense sunlight, wind, rain, snow, dust, and the like. In embodiments, the components are designed in accordance with various industry standards, such as NEMA. ANSI, and NFPA. 
       FIG. 2  is a detailed schematic representation of a hydraulic fracturing system  40  with damage accumulation monitoring, that can be used for pressurizing a wellbore  42  to create fractures  44  in a subterranean formation  46  that surrounds the wellbore  42 . Included with the system  40  is a hydration unit  48  that receives fluid from a fluid source  50  via line  52 , and also selectively receives additives from an additive source  54  via line  56 . Additive source  54  can be separate from the hydration unit  48  as a stand-alone unit, or can be included as part of the same unit as the hydration unit  48 . The fluid, which in one example is water, is mixed inside of the hydration unit  48  with the additives. In an embodiment, the fluid and additives are mixed over a period of time, to allow for uniform distribution of the additives within the fluid. In the example of  FIG. 2 , the fluid and additive mixture is transferred to a blender unit  58  via line  60 . A proppant source  62  contains proppant, which is delivered to the blender unit  58  as represented by line  64 , where line  64  can be a conveyer. Inside the blender unit  58 , the proppant and fluid/additive mixture are combined to form a fracturing fluid, which is then transferred to a fracturing pump system  66  via line  68 . Thus, fluid in line  68  includes the discharge of blender unit  58  which is the suction (or boost) for the fracturing pump system  66 . 
     Blender unit  58  can have an onboard chemical additive system, such as with chemical pumps and augers. Optionally, additive source  54  can provide chemicals to blender unit  58 , or a separate and standalone chemical additive system (not shown) can be provided for delivering chemicals to the blender unit  58 . In an example, the pressure of the fracturing fluid in line  68  ranges from around 80 psi to around 100 psi. The pressure of the fracturing fluid can be increased up to around 15,000 psi by pump system  66 . A motor  69 , which connects to pump system  66  via connection  40 , drives pump system  66  so that it can pressurize the fracturing fluid. In one example, the motor  69  is controlled by a variable frequency drive (“VFD”). 
     After being discharged from pump system  66 , fracturing fluid is pumped into a wellhead assembly  71 . Discharge piping  42  connects discharge of pump system  66  with wellhead assembly  71  and provides a conduit for the fracturing fluid between the pump system  66  and the wellhead assembly  71 . In an alternative, hoses or other connections can be used to provide a conduit for the fracturing fluid between the pump system  66  and the wellhead assembly  71 . Optionally, any type of fluid can be pressurized by the fracturing pump system  66  to form injection fracturing fluid that is then pumped into the wellbore  42  for fracturing the formation  44 , and is not limited to fluids having chemicals or proppant. 
     An example of a turbine  74  is provided in the example of  FIG. 1 . The turbine  74  can be gas powered, receiving a combustible fuel from a fuel source  76  via a feed line  78 . In one example, the combustible fuel is natural gas, and the fuel source  76  can be a container of natural gas or a well (not shown) proximate the turbine  74 . Combustion of the fuel in the turbine  74  in turn powers a generator  80  that produces electricity. Shaft  82  connects generator  80  to turbine  74 . The combination of the turbine  74 , generator  80 , and shaft  82  define a turbine generator  83 . In another example, gearing can also be used to connect the turbine  74  and generator  80 . 
     An example of a micro-grid  84  is further illustrated in  FIG. 2 , and which distributes electricity generated by the turbine generator  83 . Included with the micro-grid  84  is a transformer  86  for stepping down voltage of the electricity generated by the generator  80  to a voltage more compatible for use by electrically powered devices in the hydraulic fracturing system  40 . In another example, the power generated by the turbine generator and the power utilized by the electrically powered devices in the hydraulic fracturing system  10  are of the same voltage, such as 4160 V, so that main power transformers are not needed. In one embodiment, multiple 3500 kVA dry cast coil transformers are utilized. Electricity generated in generator  80  is conveyed to transformer  86  via line  88 . In one example, transformer  86  steps the voltage down from 13.8 kV to around 600 V. Other step down voltages can include 4,160 V, 480 V, or other voltages. 
     The output or low voltage side of the transformer  56  connects to a power bus  90 , lines  92 ,  94 ,  96 ,  98 ,  100 , and  101  connect to power bus  90  and deliver electricity to electrically powered components of the system  40 . More specifically, line  92  connects fluid source  20  to bus  90 , line  94  connects additive source  24  to bus  90 , line  96  connects hydration unit  18  to bus  90 , line  98  connects proppant source  62  to bus  90 , line  100  connects blender unit  28  to bus  90 , and line  101  connects bus  90  to an optional variable frequency drive (“VFD”)  102 . Line  103  connects VFD  102  to motor  69 . In one example, VFD  102  can be used to control operation of motor  69 , and thus also operation of pump  66 . 
     In an example, additive source  54  contains ten or more chemical pumps for supplementing the existing chemical pumps on the hydration unit  48  and blender unit  58 . Chemicals from the additive source  54  can be delivered via lines  56  to either the hydration unit  48  and/or the blender unit  58 . In one embodiment, the elements of the system  40  are mobile and can be readily transported to a wellsite adjacent the wellbore  42 , such as on trailers or other platforms equipped with wheels or tracks. 
     In the illustrated embodiment, one or more instrumentation devices  104  such as various types of sensors  106  are arranged throughout the hydraulic fracturing system  40  and coupled to one or more of the aforementioned components, including any of the wellhead assembly  71 , pump  66 , blender unit  58 , proppant source  62 , hydration unit  48 , additive source  54 , fluid source  50 , generator  80 , turbine  74 , fuel source  76 , any deliveries lines, and various other equipment used in the hydraulic fracturing system  40 , not all of which are explicitly described herein for sake of brevity. Specifically, the sensors  106  have be implemented of specific subcomponents of such equipment, such as engine, transmission, power ends RPMs, sand storage compartment gates, valves, and actuators, sand delivery belts and shoots, water storage compartments gates, valves, and actuators, water delivery lines and hoses, blender hydraulics such as chemical pumps, liquid and dry, fan motors for cooling packages, blender discharge pumps, electric and variable frequency powered chemical pumps and auger screws, suction and discharge manifold meters, valves, and actuators. For example, the instrumentation devices  104  may include hardware features such as, low pressure transducer (low and high frequency), high pressure transducers (low and high frequency), low frequency accelerometers, high frequency accelerometers, temperature sensors, external mounted flow meters such as doppler and sonar sensors, magnetic flow meters, turbine flow meters, proximity probes and sensors, speed sensors, tachometers, capacitive, doppler, inductive, optical, radar, ultrasonic, fiber optic, and hall effect sensors, transmitters and receivers, stroke counters, GPS location monitoring, fuel consumption, load cells, PLCs, and timers. In some embodiments, the instrumentation devices may be installed on the components and dispersed in various locations. 
     The components may also include communication means that enable all the sensor packages and equipment components to communicate with a monitoring unit. In some embodiments, the sensors may communicate with each other. Equipment can prevent failures, reduce continual damage, and control when it is allowed and not allowed to continue to operate based on live and continuous data readings. In some embodiments, the sensors may transmit data to a data van  38  for collection and analysis, among other things. In some embodiment, the sensors may transmit data to other components, to the central processing unit, or to devices and control units remote from the site. The communications between components, sensors, and control devices may be wired, wireless, or a combination of both. Communication means may include fiber optics, electrical cables, WiFi, Bluetooth, radio frequency, and other cellular, nearfield, Internet-based, or other networked communication means. 
     In some embodiments, instrumentation devices  104  (any of the above described, among others) can be imbedded, mounted, located in various locations such as in line with flow vessels like hoses, piping, manifolds, placed one pump components such as fluid ends, power ends, transmission, engines, and any component within these individual pieces, mounted external to piping and flow vessels, mounted on under or above sand and water storage containers. Blender hoppers could be duel equipped with hopper proximity level sensors as well as a load cell to determine amount of sand in the hopper at any given time. 
       FIG. 3  illustrates an example fracturing pump system  109 , in accordance with example embodiments. As illustrated, the fracturing pump system  109  includes instrumented components, including motors  114 , a transmission, a variable frequency drive (VFD)  115 , pumps  110 , a power end, and a fluid end. The fluid end may further include instrumented components such as packings, valves, seats, stay rod bolts, suction manifold, suction hoses, and discharge flow iron. These components may include embedded or retrofitted hardware devices which are configured to sense various conditions and states associated with the components. Example hardware devices include low pressure transducer (low and high frequency), high pressure transducers (low and high frequency), low frequency accelerometers, high frequency accelerometers, temperature sensors, external mounted flow meters such as doppler and sonar sensors, magnetic flow meters, turbine flow meters, proximity probes and sensors, speed sensors, tachometers, capacitive, doppler, inductive, optical, radar, ultrasonic, fiber optic, and hall effect sensors, transmitters and receivers, stroke counters, gps location monitoring, fuel consumption, PLCs, and timers. The system may be attached to a trailer  112  or a skid. 
     The fracturing pump components may also include various types of communications devices such as transmitters, receivers, or transceivers, using various communication protocols. This enables components of the fracturing pump components to communicate amongst each other or with a central control unit or remote device so monitor conditions, ensuring that the pumping process is completed effectively and consistently. Communication between the equipment can be both wired and/or wireless, such as through Ethernet. WiFi. Bluetooth, cellular, among other options. Data captured by the hardware can be displayed live locally, stored locally, displayed live remotely, or stored remotely. Such data may be accessed in real-time as well as stored and retrieved at a later time as historical data. In some embodiments, data from one component can be used to determine real time actions to be taken by another component to ensure proper functionality of each component. Specifically, this may allow equipment to adjust rates, pressure, operating conditions such as engine, transmission, power end rotations per minute (RPMs), valves, actuators, individual fracturing pump rates as well as collective system rates, fan motors for cooling packages, electric and variable frequency drive (VFD) powered electric motors for pumps, suction and discharge manifold meters, valves, and actuators. Equipment can prevent failures, reduce continual damage, and control operation based on live and continuous data readings. 
     Various types of hydraulic fracturing equipment and components are described in  FIGS. 1-3 . Many of these types of equipment and components are susceptible to wear and damage over time, which consumes its useful life. Currently, preventative maintenance may be performed according to a schedule based on operating time, cycles, set intervals of time or the like. Similarly, useful life is also generally determined based on factors such as total operating time. These conventional methods utilize very broad rules for maintenance scheduling and useful life calculations, which may not be very precise. This means that maintenance or equipment replacement may be performed when not actually needed, which is wasteful. Conversely, maintenance or equipment replacement may not be performed when actually needed, leading to equipment failures, which are also costly. 
     The systems and method of this disclosure use the intelligence gathered from a piece of machinery indicating the condition at which it was operating. This provides the most accurate indication of when and what type of maintenance or other procedures need to be performed on a piece of equipment. Damage accumulation rate is a number that calculates the rate at which a piece of equipment is accumulating damage. The faster that a piece of equipment accumulates damage, then the faster it will consume its useful life. The lower the damage accumulation rate number, then the slower that a piece of equipment will consume its useful life. This rate is a method of monitoring current operating conditions for a piece of machinery and classifying it at varying levels of health. Taking this information, an algorithm is created that tracks and accumulates the total history of a piece of machinery to better predict events such as maintenance, failures, and other issues. Thus, a countdown of remaining useful life can be created based on this. This information can update daily or any other determined time frame to display a life % remaining. This data can then be send to the cloud as well as other databases, such as a computerized maintenance management program. 
     Real time data capturing of equipment health being directly tied into the algorithm to display useful remaining life of any component, such as a pump components including: power ends, fluid ends, valves, seats, springs, discharge irons, check valves, suction hoses, coupling motors, engines, transmissions, pumps, and other components. 
     The damage accumulation rate can be added to other known data such as operating time, cycles, pounds of sand pumped, pumping hours, fuel consumed, MW of power consumed, and other statistics. Sensors can be used to incorporate additional data, such as vibration sensors, flow meters, pressure transducers, densitometers, cameras, and other sensors or inputs. 
     Currently there are other various methods that don&#39;t actually count consumed life of a component. These methods are not tracking the operating conditions of the equipment and how that is affecting its remaining life. Additionally, just taking just the operation rate of a piece of equipment at the current time does not provide a complete picture of the operation conditions over the life of the equipment. By creating an algorithm that takes damage accumulation rate and generates a current view of the life expectancy of a component, a new metric is created. It would be a floating scale that would adjust automatically based on current and future operating conditions, but still taking past operating conditions into account. 
       FIGS. 4A-4C  illustrate examples of three tracking methods, and it is clear that using damage accumulation total is an accurate way to better predict life expectancy for this piece of equipment.  FIG. 4A  is a plot  160  illustrating fluid end failures  162  based on pumping hours  164 . As can be seen in chart  FIG. 4A  there is no common failure point based on pumping hours  164  alone. It ranges from 100 hours to 1,300 hours. This equates to months of pump time difference between the lowest and highest. Thus, this would not be an optimal metric on which to base machine health and life expectancy.  FIG. 4B  is a plot  166  illustrating fluid end failures  168  based on number of months  170  in operation, which is an example of a time-based interval. Similar to  FIG. 4A , there is not a single column that provides us with the majority of the failures. Thus, this is also not an optimal way to manage and track equipment health. 
       FIG. 4C  is a plot  172  illustrating fluid end failures  174  based on a total damage accumulation metric  176 , according to the techniques provided in the present disclosure.  FIG. 4C  shows the new way to monitor, track, and manage equipment health.  FIG. 4C  shows a clearly defined zone of life expectancy. This can be used to generate the percent of remaining health based on historic and cumulative data. In this example, a large number of failures landed within the damage total range of 126-150 damage. Thus, the range of 126-200 has captured a true majority of failures (53%) in this case. These values may vary greatly in different cases, such as for different equipment, different observation frequency, and many other factors. Another observation using this method is that only 11% of units survived past this 200 damage mark. Another strong data point that could be used to indicate action need to be taken when this level is reached. A an example,  FIG. 4D  is a plot  178  illustrating a correlation between pumping hours  183  and damage accumulation rates  180 , which shows that as pumps are ran at higher damage levels their fluid end life is directly correlated with shorter pumping hours. 
     An advantage of using damage accumulation totalizing is that it provides an accurate view of how much life has been consumed due to wear and tear from previous operating conditions. It then also will provide how much life is remaining. This remaining life percentage will adjust itself in real time based on current operating conditions. Example, if a unit has 25% remaining life and it is currently being ran at 2× normal damage, this 25% remaining will be cut in half if the unit continues to run at double the damage for the remainder of its life. 
       FIG. 5  includes a diagram  120  illustrating a hydraulic fracturing system with damage accumulation monitoring, in accordance with various embodiments. Example equipment is illustrated, such as a pump  122 , blender  124 , hydration unit  126 , fluid source  128 , proppant source  130 , additive source  132 , and one or more other components  134 , may include communication devices for transmitting and receiving data with each other over a communication network  136 . The communication network  120  may include various types of wired or wireless communication protocols, or a combination of wired and wireless communications. In some embodiments, the connected automated fracturing system further includes one or more of a plurality of components including a manifold, a manifold trailer, a discharge piping, flow lines, conveyance devices, a turbine, a motor, a variable frequency drive, a generator, or a fuel source. Sensors may be integrated into the one or more of these components, any components described in this disclosure, and other components not described herein. The information obtained from these sensors may be used to determine damage accumulated at each individual component, or systems made up of a plurality of components. 
       FIG. 6  includes a diagram  140  illustrating a communications network of the automated fracturing system, in accordance with various embodiments. In this example, one or more hydraulic fracturing components  148 , such as, and not limited to, any of those mentioned above, may be communicative with each other via a communication network  150  such as described above. The components  148  may also be communicative with a control center  142  over the communication network  150 . The control center  142  may be instrumented into the hydraulic fracturing system, in a data van, or located remotely. The control center  142  may receive data from any of the components  148 , analyze the received data, and make various determinations regarding damage accumulation, useful life remaining, and maintenance schedules, as described herein. In some embodiments, the control center  142  may also include a user interface, including a display for displaying data and conditions of the hydraulic fracturing system. The user interface may also enable an operator to input control instructions for the components  144 . The control center  142  may also transmit data to other locations and generate alerts and notification at the control center  150  or to be received at user device remote from the control center  142 . 
       FIG. 7  is a flow diagram  200  illustrating a method of damage accumulation monitoring for a hydraulic fracturing system, in accordance with example embodiments. In this example, the method includes detecting ( 202 ) respective usage parameters associated with of a plurality of components of the plurality of pumps, the distribution system, or the wellhead via a plurality of sensing devices instrumented thereon, and determining ( 204 ) a damage accumulation parameter associated with of a plurality of components of the plurality of pumps, the distribution system, or the wellhead based at least in part on the respective usage parameters. In some embodiments, the accumulated damage parameter of a component is indicative of an amount of actual usage incurred by the component during a period of time. In some embodiments, the hydraulic fracturing method further comprises determining ( 206 ) an estimated remaining life of the component based on the accumulated damage parameter, wherein the estimated remaining life is expressed as a percentage. In some embodiments, the hydraulic fracturing method further comprises determining ( 208 ) a damage accumulation rate based on the accumulated damage parameter with respect to the duration of the period of time. In some embodiments, the hydraulic fracturing method further includes determining ( 210 ) an estimated maintenance time based on the damage accumulation rate and the accumulated damage parameter. In some embodiments, the hydraulic fracturing method further comprises updating ( 212 ) the damage accumulation rate over time. 
       FIG. 8  is a block diagram of an embodiment of a control system  190  for receiving, analyzing, and storing information from the well site. As described above, sensors  198  are arranged at the well site and may transmit data to a control unit  196  for evaluation and potential adjustments to operating parameters of equipment at the well site. The control unit  196  may be communicatively coupled to a network  192 , such as the Internet, that can access a data store  194 , such as a cloud storage server. Accordingly, in embodiments, data from the sensors  198  is transmitted to the control unit  196  (which may be located on a component, within a data van, or remotely) and is stored locally. However, the control unit  196  may upload the data from the sensors  198  along with other data, to the data store  194  via the network  192 . Accordingly, data from previous pumping operations or different sensors may be utilized to determine damage accumulation of various aspects of the hydraulic fracturing operation as needed. For example, the flow data from the sensor  198  may be coupled with information from the sensors  198  (such as the vibration sensor, gear sensors, RPM sensors, pressure sensors, etc.) to provide diagnostics with information from the data store  194 . For example, previous data may be used as training data for a machine learning model for predicting various parameters of a present operation. 
     In embodiments, the data store  194  includes information of the equipment used at the well site. It should be appreciated that, in various embodiments, information from the data store  194  may be stored in local storage, for example in storage within a data can, and as a result, communication over the network  192  to the remote data store  194  may not be used. For example, in various embodiments, drilling operations may be conducted at remote locations where Internet data transmission may be slow or unreliable. As a result, information from the data store  194  may be downloaded and stored locally at the data van before the operation, thereby providing access to the information for evaluation of operation conditions at the well site. 
     It should be appreciated that embodiments herein may utilize one or more values that may be experimentally determined or correlated to certain performance characteristics based on operating conditions under similar or different conditions. The present disclosure described herein, therefore, is well adapted to carry out the objects and attain the ends and advantages mentioned, as well as others inherent therein. While a presently preferred embodiment of the disclosure has been given for purposes of disclosure, numerous changes exist in the details of procedures for accomplishing the desired results. These and other similar modifications will readily suggest themselves to those skilled in the art, and are intended to be encompassed within the spirit of the present disclosure disclosed herein and the scope of the appended claims.