Mature Field Research Articles

Optimization of Horizontal Well Location and Completion to Improve Oil Recovery for an Iraqi Field

Exploitation of mature oil fields around the world has forced researchers to develop new ways to optimize reservoir performance from such reservoirs. To achieve that, drilling horizontal wells is an effective method. The effectiveness of this kind of wells is to increase oil withdrawal. The objective of this study is to optimize the location, design, and completion of a new horizontal well as an oil producer to improve oil recovery in a real field located in Iraq. “A” is an oil and gas condensate field located in the Northeast of Iraq. From field production history, it is realized the difficulty to control gas and water production in this kind of complex carbonate reservoir with vertical producer wells. In this study, a horizontal well design with multi-stage completion is studied and proposed to find optimal oil recovery in the southeast region of the selected field. A bulk oil well sector model is used to simulate the fluid flow of a single-porosity/single-permeability model. Then, a sensitivity analysis has been run to optimize; the well trajectory path, different scenarios on well oil and water production potential, and well completion design. The result of the well sector simulation indicates that the well trajectory with an Azimuth of 89 degrees and with a multi-stage completion design has better production performance under water production constraints. Optimum oil production rates of 1000 to 2000 STB/day, as delaying and controlling early gas and water production challenges is achieved.

THE OPTIMUM DECISION OF OIL AND GAS PRODUCTION SPREADSHEET MODELLING

The optimum revenue of an oil and gas industry is subject to the production volume deliverability and relatively volatile product market price which depends on demand and supply level. Naturally, mature production wells will be dominantly producing water instead of oil and gas, meanwhile, the central processing facilities are having their limited capacity to handle it. This study intends to gain the optimum oil and gas production in mature fields by deciding the opening of well choke valves and considering process facilities limitations as constraints. The model is developed using a simplex LP-based spreadsheet. Three wellhead facilities with a total of forty-seven active producing wells gas, oil, and water data are taken as input parameters. The developed model is validated using the last ten days’ actual production data to identify the error margin consistency, a total of 1,410 data combinations were used. It results in an average error margin of 4.57%-gas and 0.9%-oil. The model could be used as an operator decision reference in opening the well’s choke valve to get the optimum production rate, a minor adjustment might need considering the dynamic process parameter condition.
 
 Keywords: optimal production, mature wells, choke valve opening, spreadsheet modeling

Flow Profile Estimating in production wells based on chemical composition of fluids (an example on Volga-Ural Petroleum and Gas Province)

Current problems in mature oil fields are high water cut and flow profile estimating of oil and associated brines from different layers. To establish the flow profile in production wells, geophysical research (Production Logging) is traditionally used by lowering special equipment into the well. Production Logging requires production stops and labor costs. Geochemical methods (Production Geochemistry) are used as an alternative solution: sampling is simple and efficient, which makes it possible to cover all the interesting area. Moreover, sampling does not require stopping the well. The geochemical method uses individual indicators of the composition of formation fluids produced from different perforation intervals. In this work, geochemical studies were carried out using wellhead samples from more than 100 wells, with single perforation for carbonate and terrigenous reservoirs. Some wells have joint exploitation of these formations. An automated algorithm was used to identify the distinctive characteristics of each formation based on the composition of the produced brines and oils. Data on the chemical composition of fluids from different development objects made it possible to determine the flow profiles in wells with joint production. Based on the results of the studies, the Devonian reservoir of the field under consideration is divided into 2 parts – northern and southern, which differ in the chemical composition of formation fluids. The same separation of the deposits into 2 parts is noted by field development analysis: over the past 50 years, the main production of oil and associated brines has been concentrated in the southern part of the deposit, confined to the fault, where the active work of the aquifer is assumed. It is recommended to use the obtained data for history matching of the reservoir simulation model.

Integrated Production Optimization of Mature Field Y Under Network Constraints

The Y Field, a mature field experiencing declining reservoir pressure, the production of hydrocarbons is declining, leading to the need for production optimization. One crucial aspect of this optimization is the selection of suitable artificial lift methods. The choice of artificial lift methods in Field Y is dependent on the unique reservoir conditions of each well. The commonly utilized equipment for artificial lift methods in Field Y includes the Sucker Rod Pump (SRP) and the Electrical Submersible Pump (ESP).This bachelor thesis aims to develop an integrated production optimization strategy for maximizing well production in Structure X, a mature field. The study involves analyzing and optimizing artificial lift methods and integrating surface network simulation. The Inflow Performance Rate (IPR) curve is utilized to identify the production potential of each well in Structure X.By evaluating the pump performance and surface network in Structure X, it is possible to identify wells that utilize artificial lift or existing pumps and have the potential to be improved up to their maximum operating range, based on their gross flow rate (BFPD). Through optimization, adjusting the stroke per minute for the Sucker Rod Pump (SRP) and the operating frequency for the Electrical Submersible Pump (ESP) can lead to a significant increase in production. Specifically, with a design production rate of 2308.59 BFPD, an improvement of 82.23 BOPD can be achieved.

Sustainability assurance and corporate environmental accountability

AbstractThis study explores the institutional field of sustainability assurance in South Africa to explain how this emerging practice, largely embedded in the mature field of auditing, operates. Employing the institutional pillars approach to analyze data obtained from in‐depth interviews, archival sources, and documentary reviews, the study shows mechanisms by which governing norms of the sustainability assurance field in South Africa are maintained despite a conspicuous gap between the desired purpose of sustainability assurance and its actual practice. Building on prior research on capture of sustainability assurance field, we identify an institutional outcome of total—that is, managerial and professional—capture conditioned by (1) malleability of the objective and scope of sustainability assurance engagements and (2) inadequate regulative pillars that failed to manage the multiple and competing interests in the sustainability assurance field. We show that total capture enabled maintaining field norms of sustainability assurance that cater for the interests of assurors and clients with limited regard to enhancing corporate environmental sustainability. The study contributes to the literature by highlighting the institutional outcome of embedding the emerging practice of sustainability assurance in an established field of auditing in a setting with weak regulative pillars.

Limitation and development of minimally invasive robots

This paper mainly uses the method of literature review to sort out and analyze the research and application fields of minimally invasive robot technology,combined with experimental research and case analysis,to explore the development trend and future development direction of minimally invasive robot technology. The research of minimally invasive robot technology has been relatively mature,but its limitations still exist,such as the accuracy of surgical instruments,the control mode of robots,and the safety in surgery.The development of minimally invasive robot technology in the future needs to consider the factors of technology, law and ethics. At the same time, it is also necessary to continuously promote the development of minimally invasive robot technology in the laboratory and practice, so as to achieve better surgical results and serve more patients. In the future development, minimally invasive robot technology will become more and more mature and new application fields will emerge, but it is still necessary to actively explore unknown areas and continuously promote the development, optimization and application of minimally invasive robot technology. This study discusses and analyzes the development trend and future development direction of minimally invasive robot technology, and puts forward suggestions and prospects for the optimization and development of minimally invasive robot technology.

Optimization Method for Water-Flooded Beach-Bar Sand Bodies: A Case Study of the Fourth Member Red Beds of the Paleogene Shahejie Formation in the Dongying Depression

As water flooding continues to advance in mature oil fields, conventional well logging curve responses exhibit anomalies, particularly in deep-seated beach-bar thin-layer sand bodies. These sand bodies exhibit strong vertical and planar heterogeneity, which hinders a clear understanding of their distribution and connectivity. This paper conducts a sensitivity analysis of the lower part of the 4th member of the Shahejie Formation in fault block C26, based on core data analysis and the integration of drilling, logging, recording, and production dynamic data. Natural potential and resistivity curves are selected as the sensitive curves for identifying sand bodies. Preliminary processing of well logging curves is carried out using the “standard layer constraint and multi-standardization method comparison” principle. Employing sedimentological research methods and the principles of wavelet transformation, the well logging curves within the study area undergo extraction of both high and low frequencies. This procedure accentuates details related to thin sand bodies and responses indicative of sedimentary cyclicity. Through a thoughtful amalgamation of multiple curves, the investigation achieves a systematic fusion of natural potential curves via multi-curve frequency division fusion, employing reconstruction optimization. This method adeptly mitigates interference stemming from water-flooded layers, effectively addressing challenges such as excessive calibration and ambiguous identification of sand bodies. As a result, a comprehensive analytical approach is established for assessing the distribution and connectivity of deep-seated, beach-bar thin sand bodies influenced by water-flooded layers, providing clarity on the connectivity relationships among the sand bodies. Additionally, in combination with the results of mercury injection experiments in the water-flooded layer segments, favorable reservoir criteria for the study area are determined, providing a scientific basis for adjusting future development plans.

Investigation of Carbonate Matrix Damage and Remediation Methods for Preformed Particle Gel Conformance Control Treatments

Summary Preformed particle gels (PPGs) have been widely applied to control excessive water production in mature oil fields with fractures or fracture-like features, especially in sandstones, but with limited attention to carbonates. However, a vital concern arises regarding the potential damage of PPGs on the adjacent matrix that might promote negative results. This paper comprehensively evaluates PPGs’ potential damage to the carbonate matrix and seeks design optimization solutions. Filtration tests were applied to compare PPGs’ penetration into the matrix under different sets of conditions. The filtration regimes were defined by filtration curves, and the gel damage on the matrix was determined by permeability measurement results. Experiments were conducted to investigate the efficiency of an oxidizer as a remediation method to remove the damage. The qualitative description of gel particles’ invasion and plugging behavior in the carbonate matrix was presented based on the analysis of filtration test results and permeability measurements. The results show that the swollen gel filtration curves can be divided into three regions: prior-filter-cake, filter-cake-building, and stable stages according to the gel particles’ response to the injection pressure and effluent flow rates. PPGs can form cakes on the rock surface to prevent particles’ further penetration into the carbonate matrix, and the penetration was only limited to less than a few millimeters. The smallest gel particles (50–70 US mesh size) were more likely to form external and internal filter cakes at higher pressure values (700 psi) and result in more damage to the matrix. To restore the matrix permeability after filtration tests, oxidizer soaking proved to be a reliable solution. In all, the results indicated that unintentional matrix permeability damage induced by gel injection is generally unavoidable but conditionally treatable.

Port economics, management and policy studies (2009–2020): a bibliometric analysis

This paper analyses published research in port economics, policy and management (port studies) based on examining all relevant academic journal papers published from 2009 to 2020. The systematic review of all 1227 papers relies on quantitative and qualitative bibliometric tools to reveal the structures of the research community (i.e., authors’ country of affiliation, number of authors involved, and international collaboration rates) and the themes and content of port research (i.e., research approaches, units of analysis, ports and commodities examined, levels of research localisation, port markets commonly (not) studied). It also presents a taxonomy of port studies based on a content classification of the themes and sub-themes examined. The paper concludes with a citation analysis that reveals the coherence of port research. The analysis is enriched by comparing the findings with similar studies focusing on the 1997–2008 timeframe. This unique monitoring of a period that expands over a quarter of a century offers a valuable tool for better understanding the research landscape and deciding directions for future research. From a theoretical perspective, the study provides evidence of the rapid transformation of port economics, policy and management into a mature research field.

Comparison of estimating vegetation index for outdoor free-range pig production using convolutional neural networks.

This study aims to predict the change in corn share according to the grazing of 20 gestational sows in a mature corn field by taking images with a camera-equipped unmanned air vehicle (UAV). Deep learning based on convolutional neural networks (CNNs) has been verified for its performance in various areas. It has also demonstrated high recognition accuracy and detection time in agricultural applications such as pest and disease diagnosis and prediction. A large amount of data is required to train CNNs effectively. Still, since UAVs capture only a limited number of images, we propose a data augmentation method that can effectively increase data. And most occupancy prediction predicts occupancy by designing a CNN-based object detector for an image and counting the number of recognized objects or calculating the number of pixels occupied by an object. These methods require complex occupancy rate calculations; the accuracy depends on whether the object features of interest are visible in the image. However, in this study, CNN is not approached as a corn object detection and classification problem but as a function approximation and regression problem so that the occupancy rate of corn objects in an image can be represented as the CNN output. The proposed method effectively estimates occupancy for a limited number of cornfield photos, shows excellent prediction accuracy, and confirms the potential and scalability of deep learning.

Machine Learning-Based Models for Basic Sediment & Water and Sand-Cut Prediction in Matured Niger Delta Fields

Oil production from matured fields in the Niger Delta is characterised by basic sediment and water (BS&W) and sand or sand-cut (Scut) production. The predominant factor for this production is the unconsolidated nature of the formations in the Niger Delta. The available correlations for estimating BS&W and Scut are based more on the intrinsic reservoir properties than controllable wellhead variables during oil production. This study developed neural-based models to predict BS&W and Scut based on multiple-inputs single-output (MISO) and multiple-inputs multiple-outputs (MIMO) networks using 457 datasets from 43 oilfields in the Niger Delta. The performances of the neural-based models with new fields test datasets were determined using some statistical yardsticks: coefficient of determination (R2), correlation coefficient (R), mean square error (MSE), root mean square error (RMSE), average relative error (ARE), and average absolute relative error (AARE). The results indicate that the MISO neural-based models had overall R and MSE values of 0.9999 and 2.0698\(\times\)10-5, respectively, for BS&W and 0.9995 and 2.1529\(\times\)10-6 for Scut. In contrast, the MIMO neural-based model had overall R and MSE values of 0.9997 and 7.5865\(\times\)10-5. The generalisation performance of the MISO neural-based models with new field test datasets resulted in R2, R, MSE, RMSE, ARE and AAPRE of 0.97406, 0.98695, 2.08143, 1.44272, -0.00638 and 0.28755, respectively, for the BS&W model and R2 of 0.89558, R of 0.93544, MSE of 0.01736, RMSE of 0.13177, ARE of 0.01338 and AARE of 0.01759 for the Scut model. Furthermore, the MIMO-based model with new field test datasets resulted in R2, R, MSE, RMSE, ARE and AAPRE of 0.97317, 0.98650, 2.15293, 1.46729, -0.00713 and 0.25064, respectively, for BS&W, while the Scut model had R2 of 0.87505, R of 0.93544, MSE of 0.02118, RMSE of 0.14554, ARE of -0.02280 and AARE of 0.02996. Also, the relative importance of the input parameters of the MISO and MIMO neural-based models in predicting BS&W and Scut is \(q_0\) >Pr>Pwh>S> \(\gamma\)API . Based on the statistical indicators obtained, the predictions of the developed neural models were close to the actual fields’ datasets. Thus, the neural-based models should apply as tools for estimating BS&W and Scut in mature fields in the Niger Delta.

Micro‐Patterning Wettability in Very Large Scale Microfluidic Integrated Chips for Double Emulsion Generation

AbstractThe fabrication of microfluidic chips is becoming a mature field and channels can be reliably defined with micrometer‐scale precision in a variety of substrates. In addition to channel geometry, micrometer‐scale patterning of wettability in microfluidic channels is essential for many applications including multi‐phase flow stabilization and multiple emulsion generation. Unfortunately, current methods to pattern wettability in microfluidics suffer from low spatial resolution, inability for patterns to be arbitrarily defined, cumbersome procedures, and incompatibility with parallelized architectures for scaled‐up production of microfluidic generated materials. To address these issues, a method is developed to lithographically define micrometer‐scale resolution patterns of wettability on all channel surfaces (ceiling, floor, and walls) in silicon and glass microfluidic devices with complex 3D geometry. A process is reported to pattern silanes on microfluidic chips that uses photolithography and an optimized process that keeps silanized surfaces stable through the microfabrication process, including anodic bonding. The versatility of this approach is highlighted by patterning wettability of a silicon/glass device to generate both highly uniform water–in‐oil–in‐water and oil–in‐water–in‐oil double emulsions. The applicability of this process is demonstrated to the parallel generation of materials in a microfluidic chip with complex geometry, by fabricating and successfully validating parallelized double emulsion generators.

Downsizing, Use of Dummy and Venturi Valves Enhance Gas Lift Performance

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 213975, “Gas Lift Performance Enhancement Strategies by Downsizing and Using Dummy and Venturi Valves: A Paradigm Shift in Gas Lift Systems Management Philosophy,” by Wael F. Akeil, Ahmed M. El-Bohoty, and El-Sayed I. Abd El-Mawla, Gulf of Suez Petroleum Company, et al. The paper has not been peer reviewed. _ A mature offshore Egyptian field has entered a depletion phase. Most of its gas lift design bases were initiated during production startup and feature standardized sets of large gas lift valve port sizes with narrow spacing. Inconsistent well flow during reservoir depletion adds complications to the system. Therefore, a screenout model was created to select candidate wells for downsizing and for changing out with dummy and Venturi valves. After screening, 70 wells were selected for application of the new strategy. The complete paper discusses the effectiveness of smaller port sizes and the use of dummy and Venturi valves in enhancing gas lift performance and maximizing recovery. Field Background The field is divided into four main geographical quadrants, each with its own facilities. Total production currently is approximately 60,000 BOPD with an average water cut of 85%. Exploration and development of the field saw the drilling of more than 460 wells; half of these currently are experiencing reservoir pressure decline, drained reserves, or operational problems. Most wells are gas lifted, and the remainder either use electric submersible pump (ESP) installation or flow naturally. The facility consists of 73 offshore satellite platforms containing the wells—both oil producers and water injectors—connected to nine offshore complex platforms. As a part of continuous improvement trials, the operator reviewed the process of gas lift system management to introduce necessary improvements and recommend changes for long-term plans. The proposed amended management system was the result of monitoring, troubleshooting, and optimization activities outlined in the complete paper. Amended Gas Lift Management System Using Dummy Valves in Gas Lift System. Conceptual Phase. A dummy valve is a special gas lift valve shaped like solid metallic bar with upper and lower packings. They are installed to replace unloading valves that are no longer needed. Installing dummy valves instead of the unloading valves can reduce problems such as valve interference and deepens the point of gas injection. Redesign Procedure Based on the New Production Profile. This practice can be applied in two main cases: First, if reservoir pressure has declined and the well is producing with a lower rate but the surface injection pressure is still high enough to reach deeper valves; and, second, if the well is planned to be recompleted from one formation to another that has a higher reservoir pressure but with lower formation feed as the result of lower productivity. The main steps for redesign are provided in the complete paper.

Substantive drilling rejuvenation in mature oil fields as a way to extract residual oil reserves

The article highlights the issues of increasing the production efficiency of the operational facility reserves at one of the large oil fields at the final stage of development. On the example of one of the facilities, a methodological approach to the development analysis is considered, which allows determining the optimal strategy for further reserves development, the effectiveness of which is subsequently confirmed by the successful geological and technical measures implementation. Based on the results of lateral horizontal trunks sealing, the assumption of residual reserves localization in the inter-well space associated with the historical fund from operation retirement with a decrease of the gas lift operation technology efficiency due to an increase in waterlogging is confirmed. It is established that for the conditions considered, the well grid density and the multiplicity of the formation pore volume flushing have a direct impact on the production efficiency. The first drilling results confirmed the sufficient predictive capacity of the complex analysis and allowed to resume the substantive drilling program at the facility with reserves of more than 85%, the main grid of wells of which was fully implemented more than 40 years ago. Keywords: mature fields; oil field development; reserves development; development system.

Functionalization and characterization of iron oxide nanoparticles recovered from acid mine drainage and application in the enhanced oil recovery

Oil is one of the most intensively used energy sources in the world and, as a fossil fuel, it is a finite resource. Different methods have been explored to increase oil recovery from mature fields, particularly using enhanced oil recovery (EOR) with the help of nanofluids. This study performed EOR tests using iron oxide nanoparticles added to brine and sodium dodecyl sulfate solutions. Three types of iron oxide nanoparticles were examined: commercial (IO), derived from the acid drainage of an underground coal mine (SIO), and temperature-sensitive functionalized (TSIO). The nanoparticles were well characterized by X-ray diffraction, Fourier-transform infrared spectroscopy, high-resolution X-ray photoelectron spectroscopy, and transmission electron microscopy. The nanofluids were evaluated through dynamic light scattering measurements and determination of the viscosity, turbidity, contact angle and surface tension. There was not significant variation in the surface tension of the samples, which ranged between 25.46 and 28.28 mN m−1. However, the contact angle exhibited notable fluctuations depending on the nanoparticles concentration, ranging from 7.39° to 24.43°. Furthermore, the zeta potential suggests that the stability of the nanofluid samples falls within the moderate to medium range. An improvement in oil recovery reached 10% with the commercial nanoparticles (0.50 wt%), followed by 8.5% using the synthesized (0.25 wt%) and 7.5% using the functionalized (0.25 wt%). Moreover, all nanofluids showed good stability for up to 30 days, and their viscosity showed a direct relationship with the enhancement in oil recovery.

Revitalization Modelling of a Mature Oil Field with Bottom-Type Aquifer into Geothermal Resource—Reservoir Engineering and Techno-Economic Challenges

The possibilities of using geothermal energy are slowly expanding to all areas of energy consumption, so the assessment of geothermal potential has become the backbone of energy policies in countries that have the potential. Countries and companies that have experience in the oil and gas industry are increasingly exploring the possibilities of first using the acquired knowledge, and then using the existing oil and gas infrastructure for the use of geothermal energy. For this reason, it is necessary to analyse the possibilities of using the existing infrastructure with all its limitations to maximise the energy potential of geothermal energy. The existing oil infrastructure, especially the wells, is in many cases not suitable for the production of brine and it is necessary to analyse the maximum impact of each well for the production of geothermal energy, with particular attention to the equipment installed in the well and the thickness of the geothermal reservoir in the oil and gas fields that would be suitable for the production of brine.

On the benefits of desulfated seawater flooding in mature hydrocarbon fields

Removal of sulfate from the injection seawater (desulfation) in hydrocarbon reservoirs is a Modified Salinity Water (MSW) flooding method that mitigates microbial reservoir souring, improves oil recovery, and enables produced-water re-injection (PWRI). Aside from the Improved Oil Recovery (IOR) effect, desulfation results in a cleaner production of oil through enabling PWRI and reducing the environmental impacts associated with reservoir souring and nitrate treatment. However, whether desulfation is still beneficial for mature fields, after years of the injection of untreated seawater, is a valid common concern. In such cases, sulfate concentration inside the reservoir has already increased due to years of untreated seawater injection. The high sulfate concentration inside the subsurface reservoir before desulfated water flooding may render desulfation pointless. The present study investigates the potential benefits of desulfation after around 20 years of untreated seawater injection in a sector of an oil field in the Danish North Sea. The results show that depending on the cessation of production point in time and the efficiency of residual oil saturation reduction of MSW flooding, desulfation results in a significant increase in oil production. Even if improving oil recovery is no longer a priority, modification of injected seawater would still help reduce the amount of water required to support a given oil production rate. Moreover, desulfation is considerably more effective than nitrate treatment in mitigating microbial reservoir souring. Furthermore, the possibility of scale formation is decreased considerably due to desulfation, which further encourages PWRI.

Intellectual Virtues for Interdisciplinary Research: A Consensual Qualitative Analysis.

Through a qualitative approach, this study identified a specific subgroup of intellectual virtues necessary for developing interdisciplinary research. Cognitive science was initially conceived as a new discipline emerging from various fields, including philosophy, psychology, artificial intelligence, linguistics, and anthropology. Thus, a frequent debate among cognitive scientists is whether the initial multidisciplinary program successfully developed into a mature interdisciplinary field or evolved into a set of independent sciences of cognition. For several years, interdisciplinarity has been an aspiration for the academy, although the difficulties limiting the success of interdisciplinary collaborations have begun to erode that initial optimism. Our analysis suggests that the problems hindering the success of interdisciplinarity can be overcome by fostering certain intellectual character strengths in scholars. The Consensual Qualitative Research method was used to analyze nine semi-structured interviews involving researchers with a long personal trajectory of interdisciplinary research between the sciences and the humanities. Three virtue domains emerged from the interviews' analysis: (i) intellectual virtues, (ii) social virtues, and (iii) interpersonal intellectual virtues. The virtues of the third domain intersect with intellectual and social ones. They are intellectual because they pursue epistemic goods. But, unlike other intellectual virtues, they only develop in interpersonal settings, so they can also be considered to have a social component. Interpersonal intellectual virtues can be thus defined as intellectual character traits that facilitate the acquisition of knowledge (intellectual motivation) with and through other people in a reciprocal way (social environment). These virtues are essential for developing any successful collective epistemic enterprise, interdisciplinary research being a privileged context where these qualities manifest themselves in a relevant way.

Positive Psychology in Christian Perspective: Foundations, Concepts, and Application

Positive Psychology in Christian Perspective: Foundations, Concepts, and Application

Solar Enhanced Oil Recovery as the Solution to Enhance Oil and Gas Production for Mature Fields in Indonesia

Indonesia has a target of reducing 29% of GHG emissions by 2030 (NDC, 2022), reaching net-zero emissions in 2060 (LTS-LCCR, 2021), and obtaining 1 million BOPD oil production and 12 BSCFD gas production in 2030. Oil and gas companies have particular challenges to achieve the target in line with paying attention to national energy security despite the oil reserve and production declining since 1995 because of the maturity of the fields. In such a case, the enormous amount of remaining oil in place left by the primary and secondary production stages has led to the EOR method as the best way to improve oil production. In Indonesia's mature fields with specific reservoir conditions, steamflooding is currently a highly effective EOR method to increase oil production by 20–300% and reduce viscosity by up to 98%. However, the production of steam in huge quantities conventionally would require vast amounts of fossil fuel resources. Hence, replacing fossil fuel-derived steam with solar-derived steam would solve the twin problems of energy scarcity and greenhouse gas emissions. Solar EOR is a viable alternative to gas-fired steam production for the oil industry by using the sun's energy to generate steam. For designing the long-term Solar EOR, Ayman Solar Concentrator (ASC) technology on low-cost solar thermal energy storage will generate high-temperature steam for 24 hours all day by enabling the system to achieve higher temperatures with less mirror surface. The evaluation of annual energy output from the solar project's design could save more than 8,672,400 MMBTU/year of natural gas and cut the environmental footprint up to 1200 metric tonnes per day of net CO2 so that natural gas can be sold and allocated to various sectors. Furthermore, the economic analysis shows that solar EOR has the lowest operational. This technology's novelty is its low cost and ability to generate steam to supply it upon demand in Indonesia's ongoing steamflood project.