Analysis Of Production Data Research Articles

Experimental study of volumetric sand production with gas flow

The presence of sand in a production stream has been a common issue for wells drilled in high permeability sandstone formations. In the case of gas producing reservoirs, sand production can be particularly hazardous due to the high gas velocities. It can among others lead to erosion of downhole components and surface equipment and to significant production downtime. A comprehensive experimental study was conducted to investigate the effects of gas flow on sand production. This was accomplished by comparing gas flow tests to tests with oil or water flow. In these tests, hollow cylinder sandstone specimens, initially wet or at ambient humidity conditions, were isotropically compressed under simultaneous fluid injection. One-phase as well as two-phase flow experiments were carried out to simulate important processes encountered in gas fields, like water capillary flow or water-cut. The results showed that sand onset was delayed in the gas flow experiments, which agrees with experimental observations in the literature. The delayed sand onset, i.e., higher sand onset stress, was related to water evaporation due to gas flow, termed flow-through drying, which strengthens the rock. The water-sensitive strength of sandstones was also examined by completing a series of uniaxial compression tests at various water saturations. The analysis of the volumetric sand production data and the X-ray CT-scans of the tested specimens showed that the decreased capillary bonds between grains when only one fluid is present in the pores, e.g., one-phase water or gas flow, results in continuous sand production of individual grains or small-sized flakes, creating large voids in the vicinity of the hole. Under such conditions, the constantly enlarging failure zone eventually causes the total collapse of the specimen. In contrast, specimens with higher capillary cohesion due to a water-oil or water-gas interphase show post sand onset stability and lower sand rate where, due to higher grain to grain cohesion, chunks of failed rock material remain in the hole and provide additional support that prevents the rapid collapse of the specimen even as the applied stress increases.

The Influence of Reservoir Architecture on the Connectivity of the Shahejie Formation in the Liuzhong Oilfield

The lack of research on fine reservoir structure and sand body patterns in the Jidong Oilfield currently restricts the efficient development of the oilfield. Therefore, this article mainly focuses on the study of the main types of facies of the Shahejie Formation, sand body splicing patterns, and the degree of sand-body connectivity. The interpretation and analysis of well-logging, three-dimensional (3D) seismic, and production data were used to lay the foundation for the study and evaluate the remaining oil distribution. The results indicate that the reservoir sandstones in the study area were mainly deposited in a submerged distributary channel, mouth bar, and distributary channel flank. Using logging information to identify individual sands, a deltaic sand assemblage pattern is proposed by analyzing the sedimentary architecture. In the vertical direction, the deltaic sand body collocation style can be divided into cut-and-stack and separated types. In the lateral direction, the multi-stage sand bodies exhibit three collocation patterns: the side-cutting type, the mouth bar contact type, and the submerged distributary channel flank contact type. The degree of sand-body connectivity under different splicing patterns was analyzed and verified using production dynamic data. It was found that the sand body splicing pattern with a vertical up-cut stack and the sand body splicing pattern with a lateral up-cut had the best inter-sand-body connectivity.

MONITORING THE ORGANIZATION'S RECEIVABLES WITHIN THE FRAMEWORK OF CONTROLLING

Increasing the competitiveness of manufacturers of industrial products based on controlling is an important strategic task for many companies. Controlling is a management system that allows you to collect, analyze and use information about financial, operational and other performance indicators of an enterprise. One of the main reasons for introducing controlling is the need to make smart decisions based on reliable and up-to-date information. Controlling allows you to get a complete picture of the current state of the enterprise, identify potential problems and opportunities, and also predict future development. The use of controlling leads to optimization of production processes and increased efficiency in the use of resources. By analyzing production data, companies can identify bottlenecks in the production chain and take action to eliminate them.
 This allows you to increase productivity and product quality, as well as reduce costs. The article shows that the introduction of controlling is an important step to increase the competitiveness of manufacturers of industrial products. An algorithm for decision-making within the framework of controlling accounts receivable is presented, with signal points being formed. This allows companies to make informed decisions based on reliable information and optimize production and management processes.

Three-dimensional visualization and analysis of marketing data based on GIS information technology

Abstract This paper explores the GIS spatial analysis technique, which models the data as a whole and performs three-dimensional coordinate transformations, maps points in one coordinate system to another, and then establishes slice maps according to the slice resolution and visualizes and analyzes the data. This paper analyzes the spatial evolution characteristics of product A’s marketing dominance, time domain and geographical concern based on the GIS analysis model and compares the traditional method with the GIS spatial analysis method to analyze the market influence of using GIS marketing in order to highlight the advantages of the GIS analysis method in product marketing and data analysis. The results show that the annual contribution rates of the differences in product A attention between regions from 2013 to 2018 are 36.46%, 40.85%, 46.68%, 48.89%, 43.62%, and 44.21%, with an average value of 45%. The influence analysis efficiency of the GIS analysis method is more than 4.4, whereas that of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0, indicating that the influence analysis efficiency of the GIS analysis method is above 4.4, while the influence analysis efficiency of the original method basically maintains the influence analysis efficiency between 3.8 and 4.0. 4.0, indicating that GIS technology has the absolute advantage for marketing data visualization analysis.

Data Analysis of Production Data for Continuous Casting of Aluminum Rolling Ingots

Data Analysis of Production Data for Continuous Casting of Aluminum Rolling Ingots

Fracture Spacing Optimization Method for Multi-Stage Fractured Horizontal Wells in Shale Oil Reservoir Based on Dynamic Production Data Analysis

In order to improve the shale oil production rate and save fracturing costs, based on dynamic production data, a production-oriented optimization method for fracture spacing of multi-stage fractured horizontal wells is proposed in this study. First, M. Brown et al.’s trilinear seepage flow models and their pressure and flow rate solutions are applied. Second, deconvolution theory is introduced to normalize the production data. The data of variable pressure and variable flow rate are, respectively, transformed into the pressure data under unit flow rate and the flow rate data under unit production pressure drop; and the influence of data error is eliminated. Two kinds of typical curve of the normalized data are analyzed using the pressure and flow rate solutions of M. Brown et al.’s models. The two fitting methods constrain each other. Thus, reservoir and fracture parameters are interpretated. A practical model has been established to more accurately describe the seepage flow behavior in shale oil reservoirs. Third, using Duhamel’s principle and the rate solution, the daily and cumulative production rate under any variable production pressure can be obtained. The productivity can be more accurately predicted. Finally, the analysis method is applied to analyze the actual dynamic production data. The fracture spacing of a shale oil producing well in an actual block is optimized from the aspects of production life, cumulative production, economic benefits and other influencing factors, and some significant conclusions are obtained. The research results show that with the goal of maximum cumulative production, the optimal fracture spacing is 5.5 m for 5 years and 11.4 m for 10 years. All in all, the fracture spacing optimization and design theory of multi-stage fractured horizontal wells is enriched.

Application of Big Data Technology Combined with Clustering Algorithm in Manufacturing Production Analysis System

Production data analysis is crucial for production planning in the manufacturing industry, and accurate and a comprehensive and accurate analysis can improve production planning. To analyze the production of manufacturing industry, the research proposes the big data technology research method of the set clustering algorithm. In the process of this research method, the K-means clustering algorithm is first used to build the production measurement data system, and the Apache Hadoop Big data framework is applied. Then it introduces the Apriori algorithm for data association mining, and finally uses the genetic algorithm for production scheduling in view of big data analysis. The experiment showcases that the research method achieved a support level of 0.002 with 729 association rules when testing the number of association rules. When conducting data throughput testing, the research method achieved a data throughput of 7789 threads/s when the number of threads reached 8 in the Sleep scenario. In the analysis error testing, the error rate of the research method in the retained data fluctuates around 3.1%. When testing the number of processing operations in the process, the maximum error in the analysis results of the processing operations in the research method is 2. The results indicate that the research method possesses exceptional computational performance, carrying out manufacturing production analysis effectively and efficiently. The manufacturing production analysis system designed by the research institute offers valuable reference solutions for the informationization and intelligent development of the manufacturing industry.

Reservoir Characteristics and Main Factors Controlling Carboniferous Volcanic Rocks in the Well CH471 Area of the Hongche Fault Zone: Northwest Margin of Junggar Basin, China

Nearly 100 million tons of reserves have been explored in the Well 471 area of the Hongche Fault zone. The Carboniferous volcanic rock reservoir is the main oil-bearing reservoir in the well CH471 area and is the main target of exploration and development. The characteristics of the Carboniferous volcanic rock reservoir are studied through core, thin section, physical property, logging, and other data, and its main controlling factors are analyzed in combination with actual means of production. The lithologies of the volcanic reservoir in the study area are mainly volcanic breccia, andesite, and basalt. The matrix physical properties of volcanic rock reservoirs are medium-porosity and ultralow-permeability, among which volcanic breccia has the best physical properties. The reservoir space mainly comprises primary pores, secondary dissolution pores, and fractures, resulting in a dual medium pore-fracture-type reservoir. Combined with production data analysis, the lateral distribution of oil and gas is controlled by lithology and lithofacies, with explosive volcanic breccia being the best, followed by the basalt and andesite of overflow facies, which are vertically affected by weathering and leaching and distributed within 50~300 m from the top of the Carboniferous system. The area with densely developed fractures was conducive to developing high-quality reservoirs. The tectonic movement promoted the formation of weathering and controlled the development of faults. Based on a comprehensive analysis, it is believed that the formation of Carboniferous volcanic oil and gas reservoirs in the study area was controlled and influenced by the lithology, lithofacies, weathering, leaching, faults (fractures), and tectonics.

Study on the pump schedule impact in hydraulic fracturing of unconventional reservoirs on proppant transport law

In unconventional reservoir hydraulic fracturing, using a pump schedule with proppant concentration constant (PCC) instead of the proppant concentration stepwise increasing (PCSI) is considered an innovative approach to reduce operation costs and risks. However, the large-scale application of PCC lacks sufficient theoretical support. This study investigates the impact of two pump schedules on proppant transport behavior through visualized proppant transport experiments and the model that couples fracture propagation with proppant transport. The experiments demonstrate that PCC facilitates proppant transport and reduces flow fluctuations in complex fractures, while PCSI enhances the filling of near-well fractures. The proppant concentration (the ratio of proppant volume to fracturing fluid volume) reaches 20 % or when a combination of 40/70-mesh and 20/40-mesh quartz sands is used for injection, the pump schedule influence becomes negligible. An increase in fracture complexity, proppant size, and proppant concentration all lead to a reduced influence of the pump schedule on the dune shape. Numerical simulation reveal that the fracture area and average fracture conductivity is similar for different pump schedules, but PCC yields a slightly larger propped fracture area (ranging from 1 % to 4 %) and results in a more uniform conductivity. PCC could achieve similar fracture filling when the proppant concentration is more than 15 % or there is no significant demand for near-well conductivity. Overall, both two pump schedules have a relatively insignificant impact on the transport process of proppants and the final sand dune shape. By comparing pressure curves during hydraulic fracturing, it was evident that PCC resulted in fewer fluctuations. Analyzing production data from 93 wells with PCSI and 59 wells with PCC, it was observed that PCC enhances production and reduces proppant flowback post-fracturing. This research provides a theoretical foundation for the application of PCC pump schedule in hydraulic fracturing.

Assessing the Interdependence of Oil Industry Indicators on Kazakhstan's Economy

The impact of oil production on the regional economy and average wages is widely discussed among economists and politicians. The oil industry is one of the main sectors of the economy of Kazakhstan and makes a significant contribution to the country's GDP. An assessment of the interdependence of the indicators of the oil industry on the economy allows us to understand what factors affect the development of this industry and, accordingly, the country's economy. This study provides a comprehensive overview of the impact of oil production on the regional economy and average wages, with a focus on the importance of diversification and sustainability strategies for long-term economic growth. The purpose of this study is to study the positive and negative aspects of the impact of oil production on the region's economy and average wages. The research methodology involves two stages of empirical analysis of oil production data and economic indicators in the region from 2016 to 2021. At the first stage, a correlation analysis (Pearson correlation) was carried out; at the second stage, a predictive regression model was built. The study shows that oil production has greatly contributed to the economic growth and development of the region, which has led to an increase in average wages and improved living standards. The findings of this study are of great importance to policy makers and stakeholders involved in the development of the oil industry in the region.

Complex aspects of climate change impacts on the cultivation of perennial energy crops in the Czech Republic

Perennial energy crops, called also second-generation energy crops, can make a significant contribution to the renewable energy balance in Central European, land locked regions, in the future. When estimating the biomass potential of energy crops, possible impacts of ongoing climate change must be considered. Climate change in Central European conditions will result in an increase in average temperatures and especially in the amount and distribution of precipitation. This will be reflected in a change in the type of climate region assigned to each land plot. Climate change leads to a change in growing conditions, a change in yields of conventional and energy crops and to a change in the allocation of energy crops to land in the region. Analysis of production data from long-term field experiments shows that the varieties of second-generation energy crops are and will be capable of adapting to the current effects of climate change over the next two decades. Modelling of biomass potential in a GIS environment shows that climate change will result in a change in land allocation between short rotation coppice and Miscanthus. The manner in which land is selected for energy crops has a significant impact on biomass potential from second generation energy crop. The paper presents a methodology for estimating the impact of climate change on the biomass potential of perennial energy crops using the Czech Republic as an example.

Implementasi Business Intelligence Untuk Menganalisis Data Proses Manufaktur Menggunakan Google Data Studio

This study aims to apply the concept of Business Intelligence (BI) by implementing it using Google Data Studio tools in analyzing production data. The BI approach utilizes technology and analytical methods to collect, integrate, analyze, and present the business information needed by company leaders. Google Data Studio is the latest BI platform and provides convenience in interactive data visualization. In this study, the implementation of BI was carried out using Google Data Studio to analyze cardboard box production data. This approach involves the process of collecting production data from various related sources, such as manufacturing systems, inventory systems, and sales systems. The data is then integrated and presented in the form of an interactive and easy-to-understand visualization. The research method used includes literature studies on BI concepts and technology, as well as experiments using Google Data Studio to analyze the production data that has been collected. During the experiment, various indicators of production performance were identified and analyzed, such as productivity, efficiency and error rate. The results of this analysis are interpreted to gain valuable insights in improving production processes and making better business decisions. It is hoped that this research will provide a better understanding of BI implementation using Google Data Studio in the context of production data analysis. It is hoped that the findings of this research can become the basis for companies to obtain better information and make more effective decisions in improving production performance.

What Drives I4.0 Adoption? Establishing the Importance of Strategy

This study investigates adoption patterns of I4.0 technologies in the automotive component sector and links I4.0 adoption to competitive strategies. Analysis of survey data concerning 288 automotive suppliers reveals that most firms currently focus on implementing real-time collection and analysis of production data (i.e., the Internet of Things, Big Data and Artificial Intelligence), while other technologies such as additive manufacturing and blockchain are infrequently adopted. I4.0 adoption is associated with a simultaneous strategic emphasis on cost, quality and delivery, thus suggesting that automotive suppliers look at I4.0 as a mean to overcome performance trade-offs. Findings also confirm that small and medium-sized firms are less likely to adopt I4.0. Based on these results, implications for academics, managers and policy makers are suggested.

Development of Marketplace Product Data Mining and Analysis Application as a Reference in Running a Business

<p><strong>Marketplaces has become the first choice as a third party that provides online selling and payment services that bridge sellers and buyers. The increasing need to shop in an efficient and convenient way has driven the popularity of using the marketplace. Moreover, with a variety of products and a fast transaction process, and more competitive prices, the use of the marketplace has shown significant growth in activity by the wider community. </strong><strong>With the increasing use of marketplaces, data analysis from marketplaces is becoming a key element to understand market trends and make informed transaction decisions. Data analysis systems based on bot technology and Web-Scrapping libraries, such as Puppeteer, allow users to perform data analysis more efficiently and quickly, minimize the need for a data analysis team, and reduce time and costs. Given these factors, this research focuses on developing a web-based application that can analyze data coming from marketplaces and present it to users quickly and accurately.</strong><strong></strong></p>

Building Up of Fuzzy Evaluation Model of Life Performance Based on Type-II Censored Data

The semiconductor industry is a rapidly growing sector. As collection technologies for production data continue to improve and the Internet of Things matures, production data analysis improves, thus accelerating progress towards smart manufacturing. This not only enhances the process quality, but also increases product lifetime and reliability. Under the assumption of exponential distribution, the ratio of lifetime and warranty has been proposed as a lifetime performance index for electronic products. As unknown parameters of the index, to use point estimates to assess lifetime performance may cause misjudgment due to sampling errors. In addition, cost and time limitations often lead to small sample sizes that can affect the results of the analysis. Type-II censored data are widely applied in production and manufacturing engineering. Thus, this paper proposes an unbiased and consistent estimator of lifetime performance based on type-II censored data. The 100(1 − α)% confidence interval of the proposed index is derived based on its probability density function. Overly small sample sizes not only make the length estimates of lifetime performance index intervals for electronic products too long, but they also increase sampling errors, which distort the estimation and test results. We therefore used the aforementioned interval to construct a fuzzy test model for the assessment of product lifetime and further help manufacturers to be more prudent and precise to evaluate the performance of product life cycles. A numerical example illustrates the applicability of the proposed model.

Method for determining the feasibility of coalbed methane coproduction based on trace elements in produced water ——A case study of the Hancheng Block, southeastern Ordos Basin, China

Multiseam coproduction is the primary way to improve coalbed methane (CBM) development efficiency in multiseam areas. However, the interlayer interference induced by the differences in reservoir geological conditions severely hinders the adequate pressure reduction of CBM reservoirs, resulting in poor coproduction efficiency. Deeply understanding coproduction's geological constraints and effectively determining coproduction's feasibility are critical to improving the CBM coproduction capacity. This study selected 16 CBM wells in the Hancheng Block, southeastern margin of the Ordos Basin, China, to collect water samples and production data. Geochemical tests of trace elements in water produced from CBM wells were performed to investigate their implications for CBM coproduction, and the coproduction feasibility is discussed in combination with the production data analysis. Li, Ga, Rb, Sr, and Ba were extracted as the characteristic trace elements of the produced water, whose concentrations increase with decreasing coal seam levels in a single-seam production (No. 3 < No. 5 < No. 11). The highest trace element concentration in coproduction wells with the No. 5 + 11 coal seam combination indicates their excellent coproduction compatibility. A method for determining the feasibility of coproduction based on the intersection and spider web diagrams of characteristic trace elements in produced water was constructed to distinguish the water sources and predict gas production. Additionally, a method for quantitatively identifying produced water sources between static and dynamic water was developed based on trace elements. The discrimination results were highly consistent with the gas production capacity, indicating suitability in effectively identifying the water sources and feasibility of CBM coproduction. The optimal geometric parameters of coal seam combinations for CBM coproduction were determined, and based on the superposition of the above parameters, the areas for CBM coproduction were divided into categories Ⅰ, Ⅱ, and Ⅲ, providing a theoretical basis for CBM-orderly development in the Hancheng Block. The results can provide a reference for optimizing CBM coproduction programs in relevant areas with similar geological conditions.

Rate transient analysis of wells exhibiting two-phase (gas+water) flowing by use of pseudopressure-based approach

The primary focus of rate transient analysis (RTA) is put on the estimation of the reserves of gas/water reservoirs. RTA based on the single-phase assumption is limited to gas/water two-phase flow in the development of the material-balance time function. This work aims to propose a practical approach for analyzing production data from wells exhibiting gas/water two-phase flow during both infinite-acting flow (IAF) and boundary-dominated flow (BDF) periods. In this work, we present a comprehensive pseudopressure-based solution associated with the constitutive saturation/pressure (Sw/p) relationship. The pseudovariables, namely pseudopressure and β-factor, have the ability of handling the two-phase nonlinearities in the governing flow equations of gas and water phases and generating the required benchmark analytical solutions for liquid flow equation. By integrating the liquid-type solutions with the principle of Duhamel convolution, a set of gas/water-phase productivity equations are recast for wells producing at different operating conditions, including constant bottomhole-pressure, constant rate and steplike change in bottomhole-pressure/rate. The presented solutions provide a theoretical framework for developing two-phase RTA based on two-phase material-balance pseudotime (MBPT). The RTA method is validated against synthetic cases generated from numerical simulation, and the dependability of two-phase MBPT is also corroborated in detail. A field case example is analyzed to demonstrate the practical applicability of this method. The RTA method provided herein accounts for all flowing phases in the reservoir, and serve as an alternative to numerical model history matching for estimating original gas in place (OGIP) and original water in place (OWIP).

EXPERIENCE OF USING ACID TREATMENTS IN THE OIL FIELD SUWAYDIYA (SYRIA)

Link for citation: Mohammad Almohammad Alnayef, Zain Alabidin Dalfi Abd Ali Khalaf, Gnidan E.V. Experience of using acid treatments in the oil field Suwaydiya (Syria). Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 7, рр. 50-58. In Rus. Relevance of the research is caused by the need to increase oil recovery from wells developed in the fields of Syria, in the carbonate reservoirs of the Massif and Shiranish formation, for which there is a natural drop in production rates due to decrease in reservoir pressure, water cut, opening of reservoirs with low reservoir properties and increase in the share of hard-to-recover reserves. The main aim of the study is to analyze the results of acid treatments to improve oil recovery in the field of Suwaydia, Syria. The object of study is the carbonate complexes in the Upper Cretaceous deposits of the Massif formation and the Shiranish formation, Syria. Methods: review of domestic and foreign experience in treating the bottomhole formation zone using acid compositions and analysis of production, technological, lithological, geological, geophysical, and field data of wells treated with acids. Results. The paper introduces the advantages of the acid treatments method, such as improving the reservoir permeability and decreasing the skin factor by increasing the pore space and fracture channels, as well as removing the filter cake and various inorganic sediments that prevent oil flow. The undesirable effects of acid treatments: corrosion, secondary sedimentation, water cut, are indicated. The geological and physical conditions of the well and reservoir for choosing a treatment technology are considered. They are: reservoir temperature, filtration, and reservoir properties of rocks, granulometric (fractional) and mineralogical composition of rocks, chemical composition of reservoir fluids. The main directions of measures for solving geological and technological complications that arise during acid treatments using inhibitors, new multicomponent compositions of acid agents, special additives, and multi-stage treatments are noted. The paper introduces the technology and results of the application of acid treatments: hydrochloric acid treatment and foam hydrochloric acid treatment of the bottomhole zone of wells located in the north-east of the Syrian Arab Republic, which belong to the two oil field – Suwaydia and Zarba – of the Al-Hasakah Oil Fields Administration. It was noted that the use of a simple hydrochloric acid treatment of several wells did not lead to the predicted increase in oil recovery, and the use of an acid mixture (HCL at a concentration of 15 %, HF at a concentration of 3 %) in well no. 462 of the Suwaydia oil field showed an increase in productivity of 1,5 times. Recommendations are given for improving acid treatments at the Suwaydia, Syria fields to intensify oil production.

Pengembangan Papan Make and Match sebagai Media Penguasaan Multi-Literasi Peserta Didik TK

Learning media is one of the important components used in learning activities. Good learning media can help students achieve competence. Based on observations, it is known that the multiliteracy abilities of group B students of TK Masyitoh Karangasem Batang such as: the ability to read, write and count are not maximized, teachers in providing learning still use conventional methods, as a result many students experience boredom and boredom. boredom is a natural thing especially learning that tends to be monotonous. The feeling of boredom and saturation that comes is not good and will greatly affect the learning process of students. If you are bored then someone will be lazy to do it. If the feeling of laziness in learning is left longer, the result is that the achievement and academic value of students will certainly decrease.This study aims to describe the validity of the make and match board which was developed as a medium for mastering multiliteracy for kindergarten students. describe the practicality of the make and match board which was developed as a medium for mastering multiliteracy for kindergarten students.This study uses a 4D development research approach adapted from the Thiagarajan and Semmel development model with 3 steps: 1) Define (defining); (2) Design (design); (3) Develop (development). Data collection techniques were carried out by tests, observations, questionnaires, interviews and documentation. The data analysis technique uses product data analysis, initial data analysis, t test and gain test.The results showed that the make and match board was feasible to use with the results of the validity test using aiken V in the medium and high categories and the reliability test in the strong category. make and match boards are feasible to be effectively used in learning, it is known that based on learning outcomes there is an average difference through the t test of -10.578 and an average increase (gain) of 0.535 which based on the interpretation of the gain index is classified as moderate.The conclusion of this research is that the make and match board is feasible and effective to use in learning, especially in mastering multi-literacy materials to explore new knowledge from the make and match board media. Teachers are expected to be able to develop make and match boards that are similar to different materials, and the school is expected to facilitate.

Estimated effectiveness of treatments against salmon lice in marine salmonid farming

We here estimate the effectiveness of ten types of salmon lice treatments currently used in the salmonid industry by analysing daily and cage-wise data from 90 full production cycles from farms spread along the Norwegian coast. The calculations are based on a stage-structured population model for salmon lice and accounts for the structure of the data, including the uncertainties that arise from the weekly counting of lice on a subset of the fish. Results suggest that the most commonly used treatment methods in the data set, i.e. thermal, mechanical and freshwater treatments, kill 70–80% of the lice in average, but with high variability. Feed treatments with emamectin benzoate are also commonly used, but are only estimated to kill around 35% of the lice in average. Bath treatments with hydrogen peroxide are estimated to kill around 74% and pyrethroids 50% of the lice in average. The other medicinal treatments were infrequently used in the data set and the estimates are therefore more uncertain. Of note is that the recently licenced bath treatment with imidacloprid is estimated to kill more than 99% of sessile and 98% of pre-adult and adult lice in average. The estimated effects of hydrogen peroxide, pyrethroids and azamethiphos, here based on data from 2017–2020, are lower than estimates from a previous analysis of production data from 2011–2014, possibly because of resistance development. In contrast, there is no indication of reduced effects of thermal, mechanical or freshwater treatments compared to previous analyses of production data from 2013–2018. These results allow comparing the effectiveness of the different treatment methods in a consistent and comprehensive way, hence enabling fish farmers and authorities to better balance the expected benefits of the treatments in terms of lice control against the economic costs, fish welfare and risk of resistance development.