Oilfield Operations Research Articles

Examining the factors that impact the formation of barite scale in water injection operations: experimental study and quantification of scale formation

Barium sulfate (BaSO4) scale formation in oilfield operations is a significant problem that leads to severe operational challenges, including reduced production efficiency and increased maintenance costs. Understanding the factors that influence BaSO4 scale formation, such as injection rate and temperature, is crucial for developing effective mitigation strategies. In this study, we systematically investigated the effects of injection rate and temperature on BaSO4 scale formation using a series of controlled laboratory experiments. The injection rates varied between 1 and 5 mL/min and temperatures between 25 and 75 °C, simulating realistic field conditions. Our findings indicate that higher injection rates and elevated temperatures significantly increase the amount of BaSO4 scale formed. Specifically, the scale formation increased from 15.2 mg/L at 1 mL/min and 25 °C to 22.3 mg/L at 5 mL/min and the same temperature. Similarly, at a constant injection rate of 3 mL/min, the scale formation increased from 18.1 mg/L at 25 °C to 26.5 mg/L at 75 °C. The study employed Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD) to analyze the crystal morphology and structure of the formed scales. SEM images revealed a transition from dendritic structures at lower temperatures and slower injection rates to spherical crystals at higher temperatures and faster injection rates. XRD patterns indicated variations in crystallinity and phase purity corresponding to the experimental conditions. Our results align with previous studies that report increased nucleation rates and reduced solubility of BaSO4 at higher temperatures and injection rates. These findings highlight the critical role of controlling operational parameters to mitigate scale formation in oil and gas operations. By optimizing injection rates and temperatures, it is possible to reduce scale deposition, thereby improving production efficiency and reducing maintenance costs. This study provides valuable insights for the development of scale management strategies and underscores the importance of a comprehensive understanding of the physicochemical factors affecting BaSO4 scale formation.

Research on the treatment and secondary fluid mixing technology for oil-containing drilling wastewater in gas fields

Drilling operations in oil and gas fields will generate a large amount of highly polluted and difficult to degrade drilling wastewater. Oil drilling wastewater mainly includes diluted drilling fluid mud, heavy metals and radioactive substances. At present, the treatment methods for oily drilling wastewater mainly include reinjection into the formation, recycling and discharge after standard treatment, but the treatment effect is not good. This article describes the treatment of oily drilling wastewater through wastewater oxidation, flocculation, mechanical dehydration, intermediate water oxidation, flocculation and filtration. The experimental results show that the RR of the wastewater can reach 93.50%, the maximum oil recovery rate (ORR) can reach 89.56%, the light transmittance (LT) of the purified water can reach 98.40%, the suspended solids (SS) can be reduced to 46.12mg/L, the HBO2- content can be reduced to 4.20mg/L. The water quality meets the requirements of DB61/T 1248-2019. Indoor technology was used for on-site testing, and the lowest reduction rate (RR) and ORR after wastewater treatment were 87.64% and 84.21%, respectively. Comparing the cost of treating the same type of wastewater, the treatment cost of the process in this article can be reduced by 1.87 USD/m3, which has higher economic benefits.

A time patch dynamic attention transformer for enhanced well production forecasting in complex oilfield operations

In the field of oil production, accurately predicting well production is of great significance for optimizing production processes and enhancing economic benefits. However, oil production data generally exhibit characteristics such as high noise, complex distribution, and severe temporal fluctuations, which pose significant challenges to traditional prediction models, thereby limiting their accuracy. To address this issue, this study proposes an innovative Time Patch Dynamic Attention Transformer (TPDAT) model. This model segments the time series data into multiple time patches, extracts local features, and integrates a dynamically fused causal temporal attention mechanism to enhance the recognition of transient events and short-term fluctuations. The TPDAT model comprises the Temporal Patch Feature Extraction (TPF) module and the Dynamic Fusion Causal Temporal Attention (DFCTA) mechanism, effectively capturing multi-scale temporal features and enhancing the modeling of causal relationships during oilfield production. Experiments on the North Sea Volve oilfield dataset show that the TPDAT model significantly outperforms traditional deep learning models in well production prediction, achieves the best performance in model evaluation metrics, and demonstrates strong adaptability to complex data. The results confirm that the TPDAT model improves the accuracy and stability of well production prediction in complex oilfield environments, providing reliable support for oilfield production optimization.

Multiband MgAl0.05Ge0.95O3:0.3%Pr3+ Persistent Phosphor as Efficient Tracers in Crude Oil Emulsions.

The use of fluorescent nanoparticles (NPs) for tracing purposes in oilfields encounters challenges due to background interferences under constant external excitation caused by organic residues present in crude oil. This results in insufficient sensitivity and lower tracer detection limits in the crude oil/water emulsions. In this study, we present the synthesis of persistent luminescent NPs, showcasing their remarkable application as tracers in crude oil. The multiband MgAl0.05Ge0.95O3:0.3%Pr3+ persistent NPs were synthesized via the sol-gel method. Through meticulous experimentation and analysis, our study unveils a novel avenue for efficient and lasting traceability in crude oil. The synthesized NPs emit light across the visible, near-infrared, and shortwave infrared regions, allowing for versatile detection. The unique luminescent properties of these NPs, particularly their ability to persist in emitting light without a continuous external excitation, enable their effective use as tracers in crude oil/water emulsions where background fluorescence typically poses a significant challenge. By employing these persistent NPs in background fluorescence-free conditions, we achieve ultrahigh sensitivity in detecting these NPs in crude oil. Our research reveals that the doping of Al3+ ions significantly enhances both the afterglow intensity of MgGeO3:0.3%Pr3+ phosphor and the afterglow decay time of Pr3+ emission. This characteristic enables the re-excitation of MgAl0.05G0.95O:0.3%Pr3+ NPs within the emulsion, allowing for repeated spectral and imaging acquisition. This high sensitivity not only facilitates precise imaging of NPs in crude oil but also enables long-term monitoring in real-time, offering valuable insights for oilfield operations.

THREADED LUBRICANTS FOR DRILL PIPES BASED ON OIL PRODUCTION WASTE

The oil and gas industry occupies a leading position in the development of the country's fuel and energy complex, and the effectiveness of its activities largely depends on the technical and economic indicators of drilling. When performing well work and operating oil and gas wells, many material costs are associated with the operation of oil pipes, namely the reliability of threaded connections operating at high pressures and temperatures in aggressive environments. The need to develop deeper and deeper horizons, the use of forced drilling modes, the transition to later stages of operation of most oil and gas fields, the aging of existing funds and the increase in the volume of overhauls leads to an increase in tripping operations, and therefore the requirements for the reliability of the connection of oil-grade pipes are moving to a new level. Studies have shown that up to 87 % of all drill string accidents are related to poor thread condition. This unsatisfactory condition of the locking threaded joints forces us to look for ways to improve durability. Many foreign and domestic scientists have been studying and improving threaded joints in drill pipes. According to the authors, one of the most promising ways to increase the TEI of drilling is to develop and use more and more effective lubricants for locking joints of drilling tools. Studies have shown that conventional lubricants are not effective enough in modern realities, and sometimes lubricants are completely washed out of threaded joints. In addition, as the drilling depth increases, the friction force increases and the hydrodynamic load increases, and the increase in pressure in the threaded connection complicates the conditions due to the effect on the lubricant of chemically active and abrasive drilling muds and many other factors. The article discusses the obtained results of studies of lubricant bases for threaded connections of drill pipes used for the oil industry, the distinctive features of which are physical and chemical composition, including low molecular weight polyethylene, synthetic rubber, rubber softeners, powdered graphite, vegetable oils.The authors of the article selected the basis of lubricant from industrial rubber production waste, and also presented the advantages of the developed lubricants and materials. The practical significance of the obtained research results lies in the possibility of increasing the wear and sealing properties of threaded pipe joints used in drilling oil and gas wells.

Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan

AbstractThis paper describes a comprehensive approach to predict sand production in the Karazhanbas oilfield using machine learning (ML) techniques. By analyzing data from 2000 wells, the research uncovered the complex dynamics of sand production and emphasized the critical need for accurately predicting the peak sand mass and its occurrence time. ML techniques can have a significant impact on prediction of sand production and on the optimization of oilfield operation, which can be improved with the combined use of enriched training data and domain-specific knowledge. The research underscored the influence of geological factors, especially fault proximity, on prediction accuracy. Domain and field knowledge is needed to formulate different production scenarios for prediction purposes such that the relevant data can be selected for the training of ML models. Moreover, new metrics are needed to evaluate model performance as the applied method is tailored for different operational strategies. As the peak sand mass is considered a pivotal event in field operation, new metrics in terms of peak prediction accuracy and peak time prediction accuracy were introduced to evaluate the performance of ML models. A suite of ML algorithms was employed in the study, which demonstrated notable accuracy in the classification of sand-producing wells.

Response Characteristics of the Community Structure and Metabolic Genes of Oil-Recovery Bacteria after Targeted Activation of Petroleum Hydrocarbon-Degrading Bacteria in Low-Permeability Oil Reservoirs.

The microbial enhanced oil recovery (MEOR) process has been identified as a promising alternative to conventional enhanced oil recovery methods because it is eco-friendly and economically advantageous. However, the knowledge about the composition and diversity of microbial communities in artificially regulated reservoirs, especially after activating petroleum hydrocarbon-degrading bacteria (PHDB) by injecting exogenous nutrients, is still insufficient. This study utilized a combination of high-throughput sequencing and metagenomics technology to reveal the structural evolution characteristics of the indigenous microbial community in the reservoir during the PHDB activated for enhanced oil recovery, as well as the response relationship between the expression of its oil production functional genes and crude oil biodegradation. Results showed that Pseudomonas (>75%) gradually evolves into a stable dominant microbial community in the reservoir during the activation of PHDB. Besides, the gene expression and KEGG pathways after crude oil undergoes biodegradation by PHDB show that the number of genes related to petroleum hydrocarbon metabolism dominates the metabolism (21.98%). Meanwhile, a preliminary schematic diagram was drawn to illustrate the evolution mechanism of the EOR metabolic pathway after the targeted activation of PHDB. Additionally, it was found that the abundance of hydrocarbon-degrading enzymes increased significantly, and the activity of alcohol dehydrogenase was higher than that of aldehyde dehydrogenase and monooxygenase after PHDB activation. These research results not only filled in and expanded the theoretical knowledge of MEOR based on artificial interference or regulation of reservoir oil-recovery functional microbial community structure but also provided guidance for the future application of MEOR technology in oil field operations.

Technology Focus: Wellbore Tubulars (July 2024)

The oil and gas industry has witnessed significant advancements in downhole technology, driving improved efficiency, sustainability, and well integrity. The technical papers here offer valuable insights into these developments, exploring nonmetallic downhole tubulars, collaborative ecosystems, material selection, environmental sustainability, and mechanical evaluation, showing a promising alternative to traditional steel counterparts. Paper SPE 214647 explores operational experiences with glass-reinforced-epoxy-lined tubing, highlighting significant benefits such as corrosion protection, cost savings, and improved well integrity. The journey from pilot to large-scale implementation reveals valuable insights into the technology’s evolution and challenges faced by operators. Complementing this, paper IPTC 23491 emphasizes the pivotal role of ecosystem partners in realizing nonmetallic tubulars. It underscores the need for multidisciplinary collaboration across academia, research institutes, manufacturers, and service providers to navigate challenges and drive innovation effectively. Paper IPTC 23549, included in the recommended reading list, delves into materials and construction aspects critical for successful deployment. It discusses the selection of nonmetallic materials, pipe-construction considerations, and the importance of standardization to meet stringent downhole requirements, signaling a path toward product development and commercialization. Concurrently, paper SPE 214488 addresses mechanical evaluations and interventions in nonmetallic tubulars, showcasing advancements in testing methodologies and tool deployment. Insights gleaned from these evaluations inform future research and development efforts to enhance product reliability and performance. Finally, the carbon life-cycle assessment of nonmetallic tubulars in recommended-reading paper IPTC 24122 underscores environmental sustainability as a driving force behind innovation. By evaluating carbon footprints and life-cycle effects, the industry seeks to adopt ecofriendly solutions without compromising operational efficiency. The synthesis of these papers underscores the transformative potential of nonmetallic downhole tubulars in reshaping oilfield operations. Through collaborative partnerships, material advancements, rigorous testing, and environmental considerations, the industry strives toward safer, more-sustainable, and more-cost-effective solutions. Recommended additional reading at OnePetro: www.onepetro.org. IPTC 23549 Making Nonmetallic Downhole Tubulars a Reality—Materials and Construction by Serena L.M. Goh, Baker Hughes, et al. IPTC 24122 Carbon Life-Cycle Assessment of Nonmetallic Downhole Tubulars by P. Sarmah, Baker Hughes, et al.

Intra-plate Jal Az-Zor strike-slip faulting deciphering the enigma of local earthquakes in Kuwait

Abstract Kuwait National Seismic Network (KNSN) data show the clustering of earthquakes in northern and southern clusters. Spatial correlation between these clusters and oil fields led previous studies to declare that oil production/injection triggered earthquakes, but some suggested the possibility of tectonic causes. This study addresses the genuine objective of uncovering the origin of Kuwait earthquakes by analysing relationships between earthquake spatial and temporal patterns, oil production/injection, structural and tectonic setting, and subsurface fluid pressures. A kinematic model of the Jal Az-Zor dextral-slip fault was presented as a decipherer to the earthquake's origin. The northern and southern clusters represent leading quadrants, where increased mean stress causes earthquakes. Dibdibah Trough and Kuwait Bay represent trailing quadrants with decreased mean stress and a lack of earthquakes. The small percentage of earthquakes falling outside clusters are caused by the concentration of regional compressive stresses related to Arabian Plate motion on pre-existing faults. Triggering earthquakes by oil field operations requires 10% pressure increase above the original pressures, which never occurs in Kuwait oil fields. The results of this study emphasize the significance of understanding fault kinematics to assess earthquake hazards and the need to focus on engineering requirements for developments in the leading quadrants areas.

Testing a novel life cycle assessment based framework for produced water management from offshore oilfield operations

As worldwide reliance on the petroleum industry persists, environmental concerns associated with offshore oilfield operations continue to present a critical challenge for sustainable management. This study develops and tests a novel life cycle assessment (LCA)-based framework to examine strategies for produced water (PW) management from offshore oilfield operations. The framework encompasses experimental designs under a dynamic modelling system coupled with stepwise linear regression, multi-criteria decision analysis (MCDA), and fluctuating scenarios in Enhanced Oil Recovery (EOR) and other internal reuse options including cooling systems, drilling operations, and utility services. Two strategies for treatment train technologies were tested with various PW compositions, sludge management options, and variable EOR demands. When comparing conventional (corrugated plate interceptor, hydrocylone and nutshell filter) with recent treatment/disposal technologies (tubular separation, combined fiber coalescence and mechanical vapor compression), the LCA revealed that the latter increased operational efficiency (14%), reduced cost (6.5%) and the overall environmental impact categories (66%). The scenario that exhibited the lowest emissions incorporated recent treatment technologies and land application for sludge management. This configuration demonstrated considerable environmental advantages, evidenced by significant reductions in key impact indicators including freshwater eutrophication (74%), global warming (64%), marine ecotoxicity (58%), and stratospheric ozone depletion (44%) when compared to the baseline scenario with conventional treatment-disposal methods. The system dynamics model revealed that the internal reuse options exploited 23%–47% of PW inflow, indicating a significant annual surplus of unused PW that presents an opportunity for external applications to enhance sustainability. In closure, we argue that the proposed framework offers a valuable tool for waste management practitioners, facilitating the identification and selection of strategies with minimal environmental impacts for PW management.

Process simulation, optimization, and cost analysis of a proposed sulfur recovery unit by applying modified Claus technology

Removing sour gas from any suitable gas sweetening technology in a cost-effective and environmentally responsible manner is a major challenge. This paper discusses how to safely and economically dispose of small amounts of acid gases resulting from the amine sweetening process. A two-stage Claus desulfurization unit was studied and simulated to treat acid gases resulting from natural gas sweetening operations in Ras Gharib oil fields (Egypt). These acid gases are used as feedstock for the proposed plant to produce a valuable product, such as elemental sulfur, which is used as a raw material in many industries. Although many sulfur recovery techniques are available for various conditions and applications, the Claus process is a critical and widely used method for recovering elemental sulfur from gaseous hydrogen sulfide. This work represents the potential benefits of treating acid gases with high hydrogen sulfide content. In addition, operational variables that could affect sulfur production and sulfur recovery efficiency of the studied Claus unit were studied and optimized. Aspen HYSYS simulation software (version 9) was used to evaluate the economic aspects and optimize the operational parameters of the unit for producing sulfur from acid background gases. The results showed that the maximum sulfur production was achieved at a catalytic converter reactor temperature of 270 °C and 210 °C for the first and second catalytic reactor, respectively, with an air flow rate of 933.3 kg mol/h. The economic study of the proposed desulfurization unit showed that the Claus unit would be economically acceptable with an expected return on investment of approximately 10% and an average payback period of 10 years. Moreover, the introduced plant has a positive impact on the environment by reducing the concentration of hydrogen sulfide in the gas from 69.58 to 0.16%.

The collaborative approaches of the knowledge-based performance management system and lean six sigma to improve contractor productivity and safety performances

PurposeThis paper aims to design a hybrid model of knowledge-based performance management system (KBPMS) for facilitating Lean Six-Sigma (L6s) application to increase contractor productivity without compromising human safety in Indonesian upstream oil field operations that manage ageing and life extension (ALE) facilities.Design/methodology/approachThe research design applies a pragmatic paradigm by employing action research strategy with qualitative-quantitative methodology involving 385 of 1,533 workers. The KBPMS-L6s conceptual framework is developed and enriched with the Analytical Hierarchy Process (AHP) to prioritize fit-for-purpose Key Performance Indicators. The application of L6s with Human Performance Modes analysis is used to provide a statistical baseline approach for pre-assessment of the contractor’s organizational capabilities. A comprehensive literature review is given for the main pillars of the contextual framework.FindingsThe KBPMS-L6s concept has given an improved hierarchy for strategic and operational levels to achieve a performance benchmark to manage ALE facilities in Indonesian upstream oil field operations. To increase quality management practices in managing ALE facilities, the L6s application requires an assessment of the organizational capability of contractors and an analysis of Human Performance Modes (HPM) to identify levels of construction workers’ productivity based on human competency and safety awareness that have never been done in this field.Research limitations/implicationsThe action research will only focus on the contractors’ productivity and safety performances that are managed by infrastructure maintenance programs for managing integrity of ALE facilities in Indonesian upstream of oil field operations. Future research could go toward validating this approach in other sectors.Practical implicationsThis paper discusses the implications of developing the hybrid KBPMS- L6s enriched with AHP methodology and the application of HPM analysis to achieve a 14% reduction in inefficient working time, a 28% reduction in supervision costs, a 15% reduction in schedule completion delays, and a 78% reduction in safety incident rates of Total Recordable Incident Rate (TRIR), Days Away Restricted or Job Transfer (DART) and Motor Vehicle Crash (MVC), as evidence of achieving fit-for-purpose KPIs with safer, better, faster, and at lower costs.Social implicationsThis paper does not discuss social implicationsOriginality/valueThis paper successfully demonstrates a novel use of Knowledge-Based system with the integration AHP and HPM analysis to develop a hybrid KBPMS-L6s concept that successfully increases contractor productivity without compromising human safety performance while implementing ALE facility infrastructure maintenance program in upstream oil field operations.

Responses of nesting greater white‐fronted geese to oil development in the Arctic

AbstractOil and gas exploration and development is expanding across the Arctic Coastal Plain (ACP) of Alaska, USA. To examine the effects of industrial development on greater white‐fronted geese (Anser albifrons), we monitored nests and nesting behavior within a 4‐km2 study area within 4 km of gravel roads and pads during pre‐development, construction, and operation activities at a new oil development in the National Petroleum Reserve‐Alaska in 2013−2019. We examined distribution, incubation constancy, and nest survival in relation to distance to gravel roads or pads, year and status of development, presence of an ice road the previous winter, and land cover type. Nest density increased throughout the study period, which was consistent with surveys of this species in other regions of the ACP. There was no direct evidence that oil extraction infrastructure and the associated human activity adversely influenced the abundance, distribution, or daily nest survival of greater white‐fronted goose nests. Geese avoided nesting in the alignments of ice roads from the previous winter, and land cover type influenced their nest distribution. Nest age and incubation constancy were important predictors of daily nest survival. The incubation constancy of successful nesters (98.5 ± 0.1% [SE]) was significantly greater than for failed nesters (94.7 ± 0.6%) for all years combined and tended to be greater during the pre‐construction and construction years of 2014 and 2015, compared to when oilfield operations began in 2017 and 2019. Greater‐white fronted geese appear to be tolerant of some levels of industrial activities and the presence of gravel roads did not have a significant effect on nest distribution, incubation constancy, or nest survival. We recommend, however, that indirect effects from ice roads should be explicitly considered in impact assessments because white‐fronted geese avoid nesting in the footprints of the previous winter's ice roads and pads.

Nano-Engineered Polyaspartate-Coated Magnetite Scale Inhibitor: A Sustainable Solution for Efficient Gypsum Scale Control in Oilfield Operations

Nano-Engineered Polyaspartate-Coated Magnetite Scale Inhibitor: A Sustainable Solution for Efficient Gypsum Scale Control in Oilfield Operations

Microscopic simulation study on the penetration property of pure hydrogen sulfide gas in polyethylene and polyvinylidene fluoride

The H2S penetration in the nonmetallic biogas pipelines and reinforced thermoplastic composite pipelines can lead to severe environmental pollution and disrupt the regular operations of oil and gas fields. Thus, delving into and comprehending the H2S penetration in polyethylene (PE) or polyvinylidene fluoride (PVF2) holds immense significance for both environmental preservation and industrial progress. In this study, Grand Canonical Monte Carlo (GCMC) and Molecular Dynamics (MD) are employed to investigate and contrast the H2S penetration property within PE and PVF2 at 300–360 K and 0.1–1.5 MPa. The results indicate the diffusion and penetration coefficients decrease with decreasing temperature and pressure, while the solubility coefficient increases with decreasing temperature. Compared to PE, PVF2 demonstrates stronger resistance to H2S penetration, mainly due to H2S is difficult to diffuse in PVF2. The relationship between penetration coefficient and temperature is consistent with Arrhenius law. In 0.1 MPa, the activation energy of H2S in PE and PVF2 are 31,911 and 42,247 J/mol, respectively. Moreover, the relationship between activation energy and pressure is power function. The study also reveals the H2S diffusion in both PE and PVF2 follows the leap mechanism. These research findings can offer valuable guidance for reducing environmental pollution and ensuring industrial development.

Temperature-Sensitive Materials for Oil and Gas Drilling Applications.

With the vigorous development of the petroleum industry, improving the efficiency of oil and gas exploitation has become an important issue. Temperature-sensitive materials show great potential for application in the development and production of oil and gas fields due to their unique temperature-responsive properties. This paper reviews the application of temperature-sensitive materials in oil and gas drilling and introduces the characteristics of three types of temperature-sensitive materials: N-substituted acrylamide polymers, amphiphilic block copolymers, and peptides. Because these materials can change their physical state at specific temperatures, this paper discusses in detail the role of various temperature-sensitive materials as plugging agent, thickener, oil displacing agent, flocculant, and tackifier in oil and gas field operations, as well as the mechanism of action and performance of temperature-sensitive materials in practical oil and gas drilling operations. As we have not yet seen relevant similar literature, this paper aims to discuss the innovative application of temperature-sensitive materials in the oil and gas drilling process, and at the same time points out the problems in the current research and applications as well as future development directions. Through analysis and comparison, we provide an efficient and environmentally friendly materials selection option for the petroleum industry in order to promote the progress and sustainable development of oil and gas extraction processes.

Research on the Soft-Sensing Method of Indicator Diagram of Beam Pumping Unit.

An accurate calculation of the indicator diagram of a pumping unit is the key factor in analyzing the performance of an oilfield production and operation and in preparing and optimizing an oilfield development plan. Aiming at the problems of the poor stability of the conventional load-displacement sensor method and the wave equation method, owing to the influence of an alternating load on the force sensor and the difficulty in measuring the crank angle using the electrical parameter method, a new soft sensing method employing the input electrical parameters of the motor and the beam inclination has been proposed to obtain the indicator diagram. At first, this method is established based on the beam angle of the pumping unit, which is easily measured using the suspension point displacement mathematics calculation model and the torque factor. Subsequently, the electric motor input parameters, the parameters of the four-bar linkage, and the relationship between the polished rod load have been established. Finally, the motor and the beam angle of the measured electrical parameters have been substituted into the calculation of the suspension point displacement and load value and pull in accordance with the guidelines to eliminate the singularity mutation values. After processing the measured data through a Butterworth filter, the indicator diagram is obtained. The results of the engineering experiment and application show that the average relative error of the method is less than 3.95%, and the maximum relative error remains within 2% for 6 months, which verifies the stability of the soft sensing method.

Hydrothermally synthetized WO3 coated stainless steel mesh for oil–water separation purposes

To separate oil–water mixtures especially in oil field operations, new energy-efficient methods are urgently required. Conventional separation techniques using demulsifiers for separation of oil–water mixtures or even use of membranes usually suffered from high cost and energy consumption, composition dependency of demulsifiers and fouling or inability of a single membrane to separate all types of oil–water mixtures. This research aimed to synthesize tungsten oxide-coated stainless steel mesh using the hydrothermal method, with a focus on evaluating its effectiveness in oil–water separation. The coating procedure was carried out using hydrothermal techniques, with an emphasis on investigating the impact of precursor concentration, pH levels, reaction temperature and duration, on the separation efficiency of the optimal coating solution. The hydrothermally coated stainless steel mesh was created within a polytetrafluoroethylene reaction vessel, submerged in a 150 ml aqueous solution containing 0.0094 mol of sodium tungstate di-hydrate at pH 3.0, achieved through the addition of hydrochloric acid. Additionally, 1 g of oxalic acid, acting as a chelating agent, was introduced. Subsequently, the mesh underwent a 4 h reaction at 220 °C and was subsequently annealed for 30 min in a 350 °C furnace. Remarkably, the resultant mesh exhibited an exceptional water separation flux of 9870 ± 15 L/hr/m2 when exposed to 1:1 v/v oil–water mixtures. This performance significantly outperformed previous filters designed for similar oil–water separation tasks. The mesh efficiently facilitated the passage of water through the oil–water mixture, achieving an efficiency rate exceeding 98 ± 1%. To gauge its wetting behavior, the hydrophilic/underwater oleophobic filter underwent static contact angle measurements. The filter's wetting mechanism was primarily attributed to its hierarchical surface structure, which enhanced surface hydrophilicity and roughness. Analytical techniques such as XRD, FTIR, and FE-SEM were employed to scrutinize the fabricated filter's composition. These analyses confirmed the successful creation of a nanostructured WO3 coating on both sides of the stainless steel mesh. Moreover, the utilization of commercially available chemicals and straightforward fabrication techniques underscores the promising potential of this approach for large-scale applications.

Foamed Cement Applications in Oil Industry Based on Field Experience: A Comprehensive Review.

Foam cement is a versatile cementing material that has found numerous applications in the oil and gas industry. As research continues to advance and improve the properties of foam cement, it is likely that we will see an increased use of this material in the years to come. This review aims to summarize the current state of the art and the latest developments in the utilization of foam cement in oil fields. The study focuses on the key benefits of foam cement, including its light weight, excellent flow properties, ability to maintain its structural integrity over time, and high compressive strength. It also examines its various applications in oil field operations, such as cementing against fragile formations, well abandonment, zonal isolation, cementing offshore wells, and well remedial cementing. Furthermore, the paper evaluates the various factors that influence the performance of foam cement, such as the mixing design, foam structure, and stability. In addition, the methods for evaluating the foamed cementing job and the integrity of the formed cement sheath are also presented. The review also highlights the current challenges and limitations of foam cement technology that should be considered when using foamed cement in oil field applications and discusses the future directions for its development and optimization. This review provides a comprehensive overview of the applications of foam cement in oil fields and will be of great interest to engineers, researchers, and practitioners in the oil and gas industry.

Enhanced asphaltene degradation using piezocatalytic technology: A novel approach for sustainable oilfield operations

Asphalt or oil spills containing asphaltene can contaminate soil, water bodies, and ecosystems. Natural balances are disrupted by this contamination. Asphaltene contaminates water sources such as rivers, lakes, and aquifers, making them unfit for human consumption. Aquatic habitats are damaged, and aquatic organisms cannot reproduce, grow, or maintain health. Air pollutants, including sulfur dioxide, nitrogen oxides, volatile organic compounds, and particulate matter, are released when asphaltene-containing materials are burned. Here, we have developed a new method for the degradation of asphaltene that is fast, clean, and cost-effective. The asphaltene was degraded using NixMnyO piezo catalyst in this study. By using NixMnyO under mechanical force, the result showed that asphaltene was degraded to the extent of 94.7 %. Piezo based on NixMnyO has shown promising reusability when compared to conventional catalysts. Despite being used for 11 runs, it maintained 94% of its activity for 11 consecutive cycles. As well as analyzing the kinetics and thermodynamics of piezo asphaltene degradation, a mechanism pathway was developed for piezo degradation of asphaltene. Radical scavenger experiments showed that superoxide radicals, holes, and hydroxyl radicals are involved in the degradation of asphaltene by NixMnyO piezo catalysts. However, hydroxyl radicals and holes are responsible for the majority of asphaltene degradation.