ANCA DIENESandWILLIAM FAZACKERLEY, Emerson
Sand erosion posessignificant challenges in the oil and gasindustry,becauseit can lead toequipment damage, productionlossand costly repairs.Existing sand control techniques—such as well completion, sand screens, sandseparationor predictive models for sand production—arenotfullyeffective. Thisarticle discussessand erosion issuesin detail,and afollow-uparticlein next month’s issuewill showhow the integration of acoustic sensors and ultrasonic thickness sensors—to detect and assess sand particles in pipelines and process equipment—addressesthese issues.
SAND EROSION ISSUES
Sand produced as a byproduct of oil and gas production is a worldwide problem. It occurs when the stress on the formation exceeds the formation strengths and results in rock failure. Rock failure can happen, due to tectonic activities, overburden pressure, pore pressure, stress induced during drilling and produced fluid drag force. The solid sand particles will cause rapid erosion in the piping infrastructure, forcing operators to produce below the well’s potential and to increase spending on maintenance and repair activities.1
Additionally, as oil and gas reservoirs across the world are maturing, they start to produce more sand, thus increasing erosion risk. Sand erosion challenges span across different areas, such as reservoir management, health, safety and environment, integrity management and production management. Operators in the oil and gas industry are seeking to prevent sand from coming out of the reservoir and flowing through the topside piping infrastructure, because uncontrolled entrained sand poses a serious risk of erosion damage to their topside assets—including choke valves and expensive rotating equipment.
This type of equipment failurecanlead to unplanned shutdowns and increased operational costs for repairs. Duringshutdowns,thewellis not producing,which means thatrevenues andprofits are lost.
SAND CONTROL TECHNIQUES AND LIMITATIONS
In the attempt to keep sand under control, several techniques are currently utilized, including sand screens and gravel packs, temporary and permanently installed sand separators, and calculation models, to predict the amount of sand that a reservoir will produce.
Gravel packs and sand screens that are installed downhole, directly before wellheads, can capture a high percentage of the sand coming out of the reservoir,2,3 but there is still some sand escaping into topside piping infrastructure. Left uncontrolled, this entrained sand can damage the choke valve, pumps and other equipment, and it can even erode the pipes, causing a loss of containment, followed by imminent shutdowns. The result of this, in economic terms, can be substantial, running into millions of dollars in lost revenue. In the event of a loss of containment, well operators would also face serious environmental and safety challenges, with a high-cost impact. Gravel packs and sand screens also limit production rates, causing revenue loss.
Figure 1 displays a series of erosion damage examples produced by sand flowing through topside infrastructure, collected from onshore production sites in the Middle East region. To reduce the uncertainty with regard to the amount of entrained sand, even after deploying sand control techniques, operators often use sand monitoring as a complementary method to validate the effectiveness of sand control operations. Most importantly, sand monitoring becomes a method that provides operators with the full picture of sand production risk, empowering them to take the right mitigation approach.
SAND SAMPLING AND WEIGHING
In the past, oil and gas operators assessed solids production through offline and unreliable methods, such as solids sampling and weighing downstream of the sand separator. These methods provide infrequent and unrepeatable data sets that generate blind spots, leading production managers to increase or decrease flowrates within the wrong operating windows. Such methods require manual work, and a tedious procedure must be followed.4And above all,thesemanual inspections mayexposepersonneltohazardousareas, introducing a highsafetyrisk.
While these methods provide good insight on the characterization of the solid particles that are produced (i.e., particle type and particle size), the quantification input (i.e., the amount of sand produced in a certain period of time) will always be information from the past. Sand production is not uniform and may happen in bursts, in a short period of time, followed by low sand production in a certain time window. Because of the unpredictable behavior of the sand produced, sand sampling and sand weighing will only provide an outdated and approximate picture of the amount of entrained sand. Therefore, further manual calculations are required to calculate the amount of entrained sand over time, and the consequent erosion rate, in the attempt to estimate the asset damage and remaining life.
By the time sand is manually quantified, some level of erosion damage has already occurred, without giving operators the chance to react in due time to mitigate the erosion risk. This lagging indicator of sand bursts results in decision-making delays and the potential for serious damage to assets.
Fig. 2 Typical graph of annual thickness readings in a high-risk location, gathered using handheld ultrasonic devices, shows high variability and poor repeatability.
MANUAL ULTRASONIC THICKNESS MEASUREMENTS
Ultrasoundthickness measurements have beenused in the oil and gas industry forover50years andarea well-established technique for measuring metal wall thickness. The technique involves the generation of ultrasound from a transducer that is placed directly onto the metal surface. The ultrasound is transmitted through the metal,until it is reflected off the inside metal surface (back wall). The reflected ultrasound signal (or A-scan) is recorded, and the time difference—ortime-of-flight—between the sending and reflected signals provides the measurement of the wall thickness.
While the technique can be reliable, the completion of a full set of measurements for a facility with thousands of erosion measurement points is very time-consuming and labor-intensive, such that the wall thickness at an individual location may only be measured every three to five years. This is not an adequate frequency to measure erosion rates with any confidence or to link periods of high wall thickness loss to specific process operations, which requires measurements on the time scale of days to be useful, Fig.2.
In addition, while beingrelatively simpleto perform, manual ultrasound methods have the following disadvantages:
- Poor repeatability and reproducibility,becauseit is highly unlikely that consecutive measurements will be taken in precisely the same location by the samenon-destructive evaluation(NDE)technician. In addition, the equipment used and the skill level of the NDE technician can vary between measurements, introducing high variability to the measurements, as shown inFig.2.
- Theinfrequency of measurement, coupled with thevariation in data,shows that accuracy and repeatabilityarepoorwithmanual ultrasound thickness measurement.The practical outcome of this is thatit’snot possible to correlate this data to specific process events, such assand burst,to perform root cause analyses of theerosion events.
- Specialist techniciansare requiredtotravel to perform the inspection. Especially in offshore andotherremote oil and gaswell locations, the costoftravel and lodgingcan run into tens of thousands of dollars for a single round of inspection. In addition, manywelloperatorswantnew assets to be entirely unmannedduring normal operations, so there are no staff onsite toobserveand report on visible damage.
CONCLUSION
Inthe June 2024issue,the secondand final article inthis serieswillpresent a practical and cost-effective solution for effective sand management in the oil and gas industry,by leveraging two complementary,non-intrusive technologiesfor sand and erosion monitoring:acousticparticle sensorsandwirelessultrasonic thickness sensors,Fig.3.
Non-intrusive acoustic particle sensors detect the noise generated by the solid particles and derive it into sand production measurement. Itutilizesthe fact that the solid particles, while transported with the flow,impactthe pipe wall,due to inertia in pipe bends,and create noise. The sensor picks up the noise that propagates in the pipe wall and converts it to a digital signal in the form of sand rate (g/s), sand intensity (µV)or accumulated sand mass (g).
Real-time wall thickness monitoring of equipment and associated piping canprovidevaluable insight into the erosion status of equipment and components. The data can be trended against fluid characteristics (pH, dissolved oxygen, H2S, and CO2concentrations, corrosion,scaleand inhibitor residuals, etc.) and process data (pressure, temperature, flowrates, etc.) to not only highlight potential areas of corrosion and concern but also enablepreventative measures to be undertaken in a timely manner. This monitoring technology is commonplace in oil refineries, anditiswidely accepted as industry best practice in this case.
Aswill be discussed in the next article, these two technologies work together to helpstaffoptimizeoperations.
REFERENCES
- Ahad, N.A.,M.Jami,and S.Tyson,“A review of experimental studies on sand screen selection for unconsolidated sandstone reservoirs,”Journal ofPetroleumExplorationand ProductionTechnology10,pp.1675–1688,2020.https://doi.org/10.1007/s13202-019-00826-y
- George E King Engineering, GEKEngineering.com, 2009.https://www.yumpu.com/en/document/read/6184334/sand-control-methods-george-e-king-engineering
- Tiffin, D. L.,G. E.King,R. E.Lareseand L. K. Britt,“Newcriteria for gravel and screen selection for sand control,”paper presented at the SPE Formation Damage Control Conference, Lafayette, La., February 1998.https://onepetro.org/SPEFD/proceedings-abstract/98FD/All-98FD/190888
- Unknown, Sampling ofparticulate solids in oil & gas production—Part 1: Methods (B-FSM-009).http://eprocess-tech.com/sampling-of-particulate-solids-in-oil-gas-production-part-1-methods-b-fsm-009/
ANCA DIENESis a global product manager in Emerson’sCorrosion andErosion business unit, with over 13 years of experience in customer care and pricing. She supports new product development, translatingcustomerrequirements into engineeringinsightsto build competitive productsthat are aligned with Emerson’svision of growth.Ms.Dienes studiedmechanicalengineering andmanagement atTechnical University of Cluj-Napoca,in Romania.
WILLIAMFAZACKERLEYis a global product manager in Emerson’sCorrosion andErosion business unit, with over 10 years of experience in IT and software development. He specializes in digital transformation, working closely with customers to guide the strategic direction of Emerson’s product portfolio.Mr.Fazackerley studiedcomputing and Applied ICTatCentral Sussex College.
