Oil Production Process Research Articles

Study of the structure and development of oil deposits in carbonate reservoirs using field data and X-ray microtomography

At present, a large number of scientific works devoted to the study of the features of the geological structure and the development of oil deposits in complex carbonate reservoirs are based on the use of any one research method. This article shows the advantages of the integrated use of modern methods of core research, including X-ray microtomography and electron microscopy, as well as data from hydrodynamic and field studies of wells. The advantage of the approach used is the ability to study the deposit at three levels: core-well-development object, it is reasonable to transfer micro-survey data to the regularities of the implementation of technological processes of oil production. The objects of research in this article are the Famennian oil deposits of two neighboring fields, which, at first glance, are analogues in terms of the similarity of the enlarged geological and physical characteristics. Comprehensive studies of core samples from these deposits made it possible to establish differences both in the mineral composition of rocks and in the structure of their void space, especially in the size and distribution of pore channels. So, with approximately equal porosity for one of the deposits, the presence of two types of voids and a twofold prevalence of the size of the largest of them were established. According to the complex of laboratory methods for studying the core, the reservoir is classified as a porous type (no cracks were found). The performed interpretation of the hydrodynamic studies confirmed this fact, made it possible to establish the presence of a dependence of the reservoir permeability on the formation pressure (deformation of the void space of the reservoir), and also to build the corresponding individual dependence for each well. Comparison of the equations approximating the dependence data showed a more pronounced deformation of the reservoir, which is characterized by the presence of large pores and caverns. That is, a complex of laboratory and hydrodynamic studies made it possible to establish the probability of deformation of the void space of a carbonate reservoir even in the absence of cracks in it. In turn, the reservoir deformation is singled out as the most probable cause explaining the different rates of decline in well flow rates of the fields under consideration.

Bioremediation strategies of palm oil mill effluent and landfill leachate using microalgae cultivation: An approach contributing towards environmental sustainability

Palm oil mill effluent (POME) is defined as the wastewater that contains high concentrations of organics, nutrients and oil and grease generated from the production process of palm oil. Therefore, proper discharge and management of POME is important to avoid deleterious impact on the environment. In fact, solid waste generation is a precursor for its disposal issues as most of the solid waste generated in developing nations is dumped into landfills. This has led to the threat posed by the generation of landfill leachate (LL). LL is a complex dark coloured liquid consisting of organic matter, inorganic substances, trace elements and xenobiotics. Hence, it is essential to effectively treat the landfill leachate before discharging it to avoid contamination of soil, surface & groundwater bodies. Conventional treatment methods comprises of physical, biological and chemical treatment, however, microalgal-based treatment could also be incorporated. Furthermore, with the benefits offered by microalgae in valorisation, the application of microalgae in POME and leachate treatment as well as biofuel production, is considerably viable. This paper provides an acumen of the microalgae-based treatment of POME and LL, integrated with biofuel production in a systematic and critical manner. The pollutants assimilation from wastewater and CO2 biosequestration are discussed for environmental protection. Cultivation systems for wastewater treatment with simultaneous biomass production and its valorisation, are summarised. The study aims to provide insight to industrial stakeholders on economically viable and environmentally sustainable treatment of wastewaters using microalgae, and eventually contributing to the circular bioeconomy and environmental sustainability.

Wavelet-fused richer convolution feature for multiphase flow visual monitoring of oil and gas production processes

Multiphase flow monitoring of the oil and gas production process is of great significance to the safety of oil and gas exploitation and production. Electrical capacitance tomography (ECT) is one of the most attractive technologies in the field of multiphase flow measurement due to the advantages of its non-radioactive and non-contact properties, good visualization, and low cost. We propose a reconstruction algorithm based on wavelet and richer convolution feature (W-RCF) for solving the problem of artifacts and edge blurring in ECT imaging. In the algorithm, the two-channel source images of Tikhonov regularization and Landweber are simultaneously decomposed by a three-level wavelet. On this basis, an image fusion rule combining Bayesian decision and maximum entropy threshold is established to optimize the wavelet coefficients at each scale. The rule can reduce image artifacts and compensate for the defects in the source images. Afterward, the fused images are input to the RCF network for training and testing, and ECT reconstructed images with higher quality are obtained. Based on the simulation and experimental results, it can be seen that the image reconstruction quality of W-RCF is significantly better than that of the linear back projection, Tikhonov regularization, Landweber, and convolutional neural network algorithms. Therefore, the W-RCF algorithm has higher accuracy and stronger adaptability for multiphase flow under different flow patterns, which provides an effective method of ECT image reconstruction and is more suitable for visual monitoring of multiphase flow in the oil and gas production process.

On the assessment of the diversity of coefficients of oil recovery from developed objects


 
 
 Based on the geological and commercial material collected and systematized by the offshore fields of Azerbaijan, the article discusses the reasons for the varying degrees of use of their reserves. For this purpose, the identification of deposits was carried out accord- ing to the natural regime, as a complex factor affecting oil recovery. Oil recovery models have been obtained for offshore reservoirs, draining mainly in two types of mechanisms: mixed and solution gas drives. Based on these regression equations and geological-economical analysis, a comparative analysis of the factors influencing oil recovery was carried out. Study of the different nature of the implementation of reserves of deposits characterized by different natural mechanisms so as to determine the degree to which the geological and technological parameters at various stages of development influence oil recovery. Objects: Offshore deposits of the Republic, characterized mainly by the solution gas and mixed drives. Application of the methods of mathematical statistics (Student’s and Fisher’s criteria) for the comparative analysis of the parameters of the mined deposits, confined to different natural conditions, allowing the revelation of the degree to which they are different and various patterns of the use of the reserves. In order to determine the influence of various factors on oil recovery, we used the method of correlation-regression analysis. It was found that a wide range of changes in oil recovery factors is associated with the internal structure of the deposits, with varying degrees of activity of the energy of the reservoirs and the fluids saturating them. It is known that each of the geological and technolog- ical parameters to one degree or another affects oil recovery, this influence is complex and subject to certain changes in the process of reservoir mining. In order to study the influence of parameters on oil recovery, we developed matrices of averaged values of a number of parameters of offshore deposits draining by mixed and solution gas drives. Using multivariate correlation-regression analysis and appropriate software, we obtained models for each of the above types of the mechanisms. A comparative analysis of those models, as well as geological and field studies of the parameters included in the obtained regression equations, make it possible to correct the oil production process in a timely manner, and can also be used in designing projects for the additional mining of those objects.
 
 

Self-sustaining smouldering combustion for the treatment of industrial oily waste.

Significant onsite handling and offsite management costs are incurred by oilfield operators annually to properly manage hydrocarbon waste streams such as tank bottoms or other oily sludge or oil impacted soil generated during oil and gas production processes. The current study reports for the first-time technical results of a field trial on use of a smouldering combustion technology performed in an active oilfield. Two treatment batches with oily sludges, stabilized through blending with soil, resulted in permanent hydrocarbon removal (98-99.9% reduction) to create treated soil that met standards for reuse as clean backfill onsite. Emissions profile data collected pre- and post-thermal oxidizer indicated effective removal of volatile organic compounds, CO and SO2, but had increased NO and CO2 due to combustion of propane to affect the thermal oxidation. Regulatory, financial, environmental and safety considerations are discussed in context of future full-scale smouldering technology deployment. The technology has the potential to lower overall unit costs for management of hydrocarbon impacted waste and reduce waste sent to landfills, which can benefit more remote sites.

Effects of different concentrations of NaOH on the structure and in vitro digestion of cellulose from sesame kernel

Sesame kernel are a common and popular raw-food materials throughout the world. However, the sesame cellulose-rich residue is often discarded as waste after the industrial production process of oil and protein. In this work, four kinds of cellulose samples were extracted from sesame kernel using different strengths of an alkaline solution (0.5, 1.0, 2.0, 3.0 mol/L NaOH) under laboratory conditions. After in vitro simulated digestion of these samples, the relative amount of glucose increased by 1.09–3.17%, while the contents of xylose, arabinose, galactose and mannose decreased to varying degrees. Many tiny pores on the surface of the digested samples were observed by scanning electron microscope. Their thermal stabilities increased because of the loss of non-cellulose components during digestion. Fourier infrared spectrograms and X-ray diffraction spectra also showed that the structure of these celluloses had changed after digestion. The amounts of reducing sugars and polyphenols released at three digestion stages (oral, gastric, intestinal) were also measured. Overall, the celluloses obtained by 2 and 3 mol/L NaOH (AR-2, AR-3) were highly resistant to digestion compared to those obtained by 0.5 and 1 mol/L NaOH (AR-0.5, AR-1). These analyses provide basic information for the application of sesame cellulose in the food industry.

Technological, Nutritional, and Sensory Characteristics of Gnocchi Enriched with Hemp Seed Flour

Hemp seed flour (HSF) is a by-product of the hemp oil production process and is a valuable source of protein, dietary fiber, minerals, and vitamins. In line with sustainable food production and a circular economy, this research aimed to utilize HSF as fortifying ingredient in the production of gnocchi, a typical Italian potato-based fresh pasta, and to investigate the effects of the addition on the quality and consumers’ acceptability of the enriched products. Three formulations have been developed using 5–20% HSF in substitution of soft wheat flour. Nutritional value, cooking quality, color, texture and sensory profile, and the consumers’ acceptability of gnocchi samples were evaluated, as well as the functional properties of pure and composite flours and the HSF aroma compounds. HSF addition allowed to enhance the nutritional value of gnocchi, gaining the nutritional claim of “source of fiber” in case of formulations with ≥10% of HSF. Moreover, the fortified gnocchi had a high technological quality in terms of cooking loss, cooking resistance and textural properties, and average sensory quality; however, the vegetable and hemp odor and the bitter taste make them not well appreciated by consumers highlighting the need for improving the HSF sensory quality for consumers’ satisfaction.

Research on the application of artificial intelligence tools to diagnose common failure of centrifugal pumps applied to gas condensate transportation system at Hai Thach - Moc Tinh field

Mechanical equipments such as pumps, air compressors, etc. play an important role in the production, processing and transporting oil and gas since every single equipment, serves different functions. For oil and gas transportation system, pump is an essential mechanical device used to pump and transport the product. In order to promote technical features as well as high working efficiency, it is important to ensure that these devices always work the most efficiently in the best technical conditions. The application of modern scientific and technical advances to the maintenance and operation of mechanical equipment in general and pumps in particular will help to reduce the risks and bring economic benefits to the operators. This paper, therefore, presents results of the research on the application of artificial intelligence (AI) in diagnosing common failure of Condensate pums at Hai Thach - Moc Tinh field basing on analysis of field data which help to improve the efficiency of gas condensate transportation. The results helped to predict and warn early the possible failures to the Condensate pums at Hai Thach - Moc Tinh field. Results of the research can be applied to other equipment devices working in the same conditions during oil and gas production process in Vietnam.

Application of mathematical modelling methods in oil production management

Purpose. To assess the effectiveness of the practical application of mathematical modelling methods of the operation principles of oil production management systems in a fuzzy environment and the main aspects of their application in oil production. Methodology. The basis of the methodological approach in this study is a combination of methods of quantitative and qualitative analysis of the basic principles of the development of mathematical models for managing oil production processes in a fuzzy environment. Findings. The authors investigated the available methods of mathematical modeling in order to select the optimal possibilities for creating mathematical models. A qualitative assessment of the effectiveness of the practical application of methods of mathematical modeling of the principles of operation of oil production management systems in a fuzzy environment was formulated. The main aspects of application of methods of mathematical modeling directly in the process of oil production were established. Originality. A fuzzy approach is proposed for solving the problem of multi-criteria optimization in the development of a field and oil production, in which the task is set and solved in a fuzzy environment without previously converting them to equivalent clear tasks. This ensures the correctness and efficiency of the solution by increasing the adequacy of the description of the problem in a fuzzy environment. Practical value. The results obtained and the conclusions formulated on their basis are of considerable practical importance for employees of research institutes of the oil industry responsible for the development of effective methods of mathematical modelling of oil production process control systems and for employees of oil companies whose professional duties include the introduction of the mentioned mathematical models in oil fields.

Iraq Oil Industry Infrastructure Development in the Conditions of the Global Economy Turbulence

The resource orientation of the Iraqi economy implies the development of a competitive advantage of the oil industry through the industry’s infrastructure development. The authors’ assumption is that as a result of the transport and production infrastructures’ development of the extraction, processing and transportation of oil and oil products in the conditions of global economic turbulence and the availability of profitable mineral raw materials, domestic demand is restrained by both “inherited” problems and new challenges for the Iraqi oil industry. A review of changes in oil production over time has been carried out. The following problems have been identified: “inherited” problems of the oil industry’s production infrastructure, insufficient capacities and technologies and unbalanced attraction and use of investments. It has been identified that problems vary with different infrastructures. For transport infrastructure, transportation security threats, the insufficient capacity of ports and routes, low level of management and technical implementation are the main problems. New challenges in the oil industry’s infrastructural development are related to the fall in oil prices, the reorientation of supply chains, the “blockage” in world trade due to coronavirus infection and the challenge to expand the use of renewable energy resources to improve the quality of energy supply in terms of resource distribution. The aim of this study is to develop theoretical and methodological bases for the development of infrastructure in the Iraqi oil industry with reference to its background, associated with the turbulent path of the global economy. The substantiation of theoretical provisions and development of practical recommendations to facilitate development of the Iraq oil industry infrastructure are aimed at supporting the development of its infrastructure in view of economic and political instability. Thus, the theoretical and practical significance of the study lies in revealing the features and problems of the Iraq oil industry infrastructure functioning and the development of an algorithm of control for the development of its elements.

ANALISIS PENGENDALIAN KUALITAS TERHADAP PRODUKSI PALM KERNEL DENGAN MENGGUNAKAN METODE LEAN SIX SIGMA

Abstrak: Based on the data analysis on the quality improvement program using lean six sigma that has been carried out, the following conclusions can be drawn: From 1 month of observation of defects in PT Sultra Prima Lestari's cloth masks, it is known that the DPMO value and the sigma value still do not meet the ideal number, which is 3.4 failures per million opportunities. With an average DPMO value of 141,614 and a sigma value of 5.1, it shows that the palm kernel oil production process has not yet reached the target of improving the quality of Six Sigma, namely reaching a sigma level of 6 Sigma (6σ), so it is necessary to make continuous improvements to palm kernel oil production process at PT Sultra Prima Lestari.After analyzing using this method, there are 4 types of product defects at PT Sultra Prima Lestari. Factors that cause product defects, namely labor (human), materials, equipment, and methods.
 Efforts that can be made to overcome product defects of PT Sultra Prima Lestari based on the DMAIC concept, include: Humans: Workers can improve the quality of masks by carrying out SOPs on materials and tools, then double checking the whole process.Material: Materials or materials can be improved in quality by choosing fresh fruit that is not easy to mold, of high quality, and according to SOPs. Equipment: The durability of the equipment used can be increased by carrying out routine maintenance on a monthly schedule and equipment components that have been damaged can be replaced by purchasing new and high-quality equipment components. Methods: Palm kernel oil production methods can be improved by implementing SOPs and double checking
 
 Keywords : Define, Measure, Analyze, Inprove, Control

Olive Mill Wastewater Remediation: From Conventional Approaches to Photocatalytic Processes by Easily Recoverable Materials

Olive oil production in Mediterranean countries represents a crucial market, especially for Spain, Italy, and Greece. However, although this sector plays a significant role in the European economy, it also leads to dramatic environmental consequences. Waste generated from olive oil production processes can be divided into solid waste and olive mill wastewaters (OMWW). These latter are characterized by high levels of organic compounds (i.e., polyphenols) that have been efficiently removed because of their hazardous environmental effects. Over the years, in this regard, several strategies have been primarily investigated, but all of them are characterized by advantages and weaknesses, which need to be overcome. Moreover, in recent years, each country has developed national legislation to regulate this type of waste, in line with the EU legislation. In this scenario, the present review provides an insight into the different methods used for treating olive mill wastewaters paying particular attention to the recent advances related to the development of more efficient photocatalytic approaches. In this regard, the most advanced photocatalysts should also be easily recoverable and considered valid alternatives to the currently used conventional systems. In this context, the optimization of innovative systems is today’s object of hard work by the research community due to the profound potential they can offer in real applications. This review provides an overview of OMWW treatment methods, highlighting advantages and disadvantages and discussing the still unresolved critical issues.

A makeup remover-inspired chitosan-based emulsion for heavy oil removal in oily sludge treatment

During oil production processes, oily sludges are inevitably produced and accumulating, which are extremely hazardous to our living environment. Due to their complex compositions mainly containing oil-contaminated solids and emulsified water and oil, it has been always a great challenge to treat oily sludges before solids can be properly disposed, and oil and water can be recycled. In this study, inspired by the makeup remover and for the first time, a chitosan-based emulsion was developed to treat oily sludges. The emulsion can efficiently remove the heavy oil from solids with removal efficiency of ∼94.7%–98.0% varying with solution pH, sludge to emulsion ratio, and settling time. It has been revealed that the oil liberates from solid surfaces resulted from the wettability alteration of the solid surface in emulsion solution due to the decrease in oil/water interfacial tension as well as oil layer softening by the solvent penetration. A rag layer formed after oil liberation due to the unresolved dispersed oil droplets carrying solid particles, which was further treated by the addition of ∼1.4–6.1 wt‰ of HCl to the mixture. With HCl addition, the dispersed oil drops were found to coalesce attributed the charge neutralization and interfacial property change of chitosan molecules at oil/water interfaces evident from the zeta potential measurement. Our work proposes an environmental-friendly approach to treat oily sludges, and provides valuable information on the oil removal mechanisms using emulsion solution shielding lights on the development of emulsion-based treating technology for both oily sludge and oil-contaminated solids treatment.

Research on Erosion Wear of Slotted Screen Based on High Production Gas Field

Erosion wear is a common failure form of slotted screen in service. In this paper, based on CFD software and sand production data of a gas field in the Tarim Basin, the particle velocity and shear force at the slot of the flow field in the sieve tube were studied to determine the maximum area of erosion; at the same time, the velocity, viscosity, particle size and concentration of sand-carrying fluid were analyzed by orthogonal test, and the regression model of multi-factor maximum erosion rate was established. ① Through the analysis of the four factors on the degree of dependent variables, the order of the primary and secondary factors are: sand-carrying liquid flow rate, particle concentration, fluid viscosity, particle diameter, the effect of fluid viscosity and particle diameter on erosion rate is relatively small; ② According to the analysis of variance and range, the combination scheme of minimum erosion generation is obtained, and the calculation model of the erosion rate of the slotted screen is established. In order to reduce the erosion and abrasion in the actual oil and gas production process, the reasonable flow control and precise sand control method design and precision selection can be adopted; it provides a design basis for sand control and long-term effects of production in high-yield gas field.

Indicator diagram analysis based on deep learning

At present, more than 90% of China’s oil production equipment comprises rod pump production systems. Indicator diagram analysis of the pumping unit is not only an effective method for monitoring the current working condition of a rod pump production system but also the main way to prevent, detect, and rectify various faults in the oil production process. However, the identification of the pumping unit indicator diagram mainly involves manual effort, and the identification accuracy depends on the experience of the monitoring personnel. Automatic and accurate identification and classification of the pumping unit indicator diagram using new computer technology has long been the research focus of studies for monitoring the pumping unit working condition. In this paper, the indicator diagram is briefly introduced, and the AlexNet model is presented to distinguish the indicator diagram of abnormal wells. The influence of the step size, convolution kernel size, and batch normalization (BN) layer on the accuracy of the model is analyzed. Finally, the AlexNet model is improved. The improved model reduces the calculation cost and parameters, accelerates the convergence, and improves the accuracy and speed of the calculation. In the experimental analysis of abnormal well diagnosis, the data are preprocessed via data deduplication, binary filling, random line distortion, random scaling and stretching, and random vertical horizontal displacement. In addition, the image is expanded by transforming several well indicator diagrams. Finally, data sets of 10 types of indicator diagrams are created for better adaptability and application in the analysis and classification of indicator diagrams, and the ideal application effect is achieved in actual working conditions. In summary, this technology not only improves the recognition accuracy but also saves manpower. Thus, it has good application prospects in the field of oil production.

Integration of a novel distributed water and energy system in the oilfield

The oil production process in union stations requires consuming a lot of energy, and sewage at high temperature will be produced simultaneously. Realizing the benefits of energy saving that waste heat utilization can bring to the oil field, this article first describes a novel integrated water separation and treatment process (IWSTP) with energy-saving effects. Based on the integrated process, the oilfield distributed heat station system is a good choice for utilizing waste heat from sewage. The heat pump is also considered as indispensable equipment for recovering the low-temperature waste heat of oilfield sewage. Next, a mixed integer linear programming model considering energy and technical constraints is developed to optimize the oilfield water treatment process to minimize annual total cost, which determines the selection and capacity of the required equipment. Taking an oilfield in China as an example, the validity and applicability of this model are demonstrated. The results show that the optimized scheme saves 14.08% of the economic cost compared with the traditional energy supply scheme. Finally, the impact of energy price fluctuation on the design results is analyzed.

Transitions in bacterial communities across two fermentation-based virgin coconut oil (VCO) production processes

Despite being one of the most used methods of virgin coconut oil (VCO) production, there is no metagenomic study that details the bacterial community shifts during fermentation-based VCO production. The identification and quantification of bacteria associated with coconut milk fermentation is useful for detecting the dominant microbial genera actively involved in VCO production which remains largely undescribed. Describing the constitutive microbial genera involved in this traditional fermentation practice can be used as a preliminary basis for improving industrial practices and developing better fermentation procedures. In this study, we utilized 16S rRNA metagenomic sequencing to trace the transitions in microbial community profiles as coconut milk is fermented to release VCO in two VCO production lines. The results show that difference in the microbiome composition between the different processing steps examined in this work was mainly due to the abundance of the Leuconostoc genus in the raw materials and its decline and transition into the lactic acid bacteria groups Weissella, Enterococcus, Lactobacillus, Lactococcus, and Streptococcus during the latter stages of fermentation. A total of 17 genera with relative abundances greater than 0.01% constitute the core microbiome of the two processing lines and account for 74%–97% of the microbial abundance in all coconut-derived samples. Significant correlations were shown through an analysis of the Spearman’s rank between and within the microbial composition and pH at the genus level. The results of the present study show that the dynamics of VCO fermentation rely on the shifts in abundances of various members of the Lactobacillales order.

Cultivation of Microalgae Spirulina platensis in Palm Oil Mill Effluent (POME) Media with Variations of POME Concentration and Nutrient Composition

Indonesia and Malaysia are recognized as the world's leading producers of palm oil. Along with the growth of the palm oil industry in Indonesia, the amount of Palm Oil Mill Effluent has increased. Palm Oil Mill Effluent (POME) is a liquid byproduct of the palm oil production process. POME has been treated using aerobic and anaerobic ponds to lower Chemical Oxygen Demand (COD) and Biochemical Oxygen Demand (BOD) levels, but it still includes nutrients like as C,N,P that are beneficial to the development of microalgae. On this study, Spirulina platensis was grown in POME medium with 20%, 40%, and 60% V. concentrations. Every two days, the nutrients Urea, NaHCO3, and TSP were administered. Seven days of aeration and 24-hour lights are used throughout the cultivation phase. The results indicate that POME with a 20 % concentration is the optimal medium for plant growth. Add 25 ppm Urea, 50 ppm TSP, and 200 ppm NaHCO3 for the optimal nutritional composition. At the same treatment on various medium, the highest growth rate of Spirulina platensis is determined to be µ = 0.128% per day, with an optical density of 0.648. Carbon reductions range from 83.03 % to 84.10 %, while Nitrogen savings range from 78 % to 79.55 % when POME is used as a growing medium. This study also shown that the C, N, and P concentrations of POME fall by 93 to 98 %, 99 to 99.5 %, and 92 to 97 %, respectively.

A combined stabilized mixed finite element and discontinuous Galerkin method for coupled Stokes and Darcy flows with transport

This paper presents a combined stabilized mixed finite element and discontinuous Galerkin method for coupled Stokes-Darcy flows model with transport, where the fluid viscosity depends on the concentration. We use nonconforming piecewise linear Crouzeix-Raviart (C-R) element to approximate velocity, piecewise constant function to approximate pressure and the symmetric interior penalty Galerkin (SIPG) method to solve concentration equation. A “cut-off” operator is introduced into SIPG scheme to avoid the assumption on the boundness of infinity norms of approximate velocity in convergence analysis. Optimal a priori error estimates for the full discrete scheme are obtained. Finally, some numerical examples are presented to verify the theoretical analysis, and a water injection oil production process is simulated to illustrate the practicability of our method.

Teknoekonomi Penyingkiran Senyawa Sulfur dari Kondensat Gas Alam dengan Metode Desulfurisasi Oksidatif-Ekstraktif

In the oil and gas production process, apart from hydrocarbons, a number of impurities are produced, including CO2 and sulfur in various concentrations, depending on the conditions and characteristics of the reservoir and the location where the oil and gas is located. To process sulfur removal from condensate, the common technology is HDS (Hydrodesulfurization). However, with process requirements such as high temperature, pressure, and intensive hydrogen consumption, an alternative technology is needed for this desulfurization. One of them is oxidative-extractive desulfurization. Technical and economic evaluations to determine the feasibility of applying on an industrial scale need to be studied further. The study of oxidative-extractive desulfurization process of sulfur compounds (represented as dibenzothiophene, DBT) was carried out using H2O2/formic acid as oxidizing agent and catalyst, as well as extraction with DMF. For a capacity of 1000 bpd of condensate with 1%-wt sulfur, desulfurization was successfully carried out with sulfur removal of 96.55% and condensate recovery of 99.41%. A processing fee of 9.14 USD/barrel is required, of which 84% is required for chemicals. The alternative process configuration for DMF recovery succeeded in reducing chemical costs by 35.5% and reducing total processing costs by 27.0% to 6.67 USD/barrel. In this alternative process configuration, 95.80% sulfur removal was achieved with condensate recovery of 99.21%.