Oil Production Research Articles

From Olive Oil Production to By-Products: Emergent Technologies to Extract Bioactive Compounds

From Olive Oil Production to By-Products: Emergent Technologies to Extract Bioactive Compounds

Production Forecasting at Natural Gas Wells

In Romania, natural gas production is concentrated in two large producers, OMV Petrom and Romgaz. However, there are also smaller companies in the natural gas production area. In these companies, the deposits are mostly mature, or new deposits have low production capacity. Thus, the production forecast is very important for the continued existence of these companies. The model is based on the pressure variation in the gas reservoir, and the exponential model with production decline is currently used by gas and oil producers. Following the variation in the production of the gas wells, we found that in many cases, the Gaussian and Hubbert forecast models are more suitable for simulating the production pattern of gas wells. The models used to belong to the category of poorly conditioned models, with little data, usually called gray models. Papers published in this category are based on data collected over a period of time and provide a forecast of the model for the next period. The mathematical method can lead to a very good approximation of the known data, as well as short-term forecasting in the continuation of the time interval, for which we have these data. The neural network method requires more data for the network learning stage. Increasing the number of known variables is conducive to a successful model. Often, we do not have this data, or obtaining it is expensive and uneconomical for short periods of possible exploitation. The network model sometimes captures a fairly local pattern and changing conditions require the model to be remade. The model is not valid for a large category of gas wells. The Hubbert and Gauss models used in the article have a more comprehensive character, including a wide category of gas wells whose behavior as evolutionary stages is similar. The model is adapted according to practical observations by reducing the production growth period; the layout is asymmetric around the production peak; and the production range is reduced. Thus, an attempt is made to replace the exponential model with the Hubbert and Gauss models, which were found to be in good agreement with the production values. These models were completed using the Monte Carlo method and matrix of risk evaluation. A better appreciation of monthly production, which is an important aspect of supply contracts, and cumulative production, which is important for evaluating the utility of the investment, is ensured. In addition, we can determine the risk associated with the realization of production at a certain moment of exploitation, generating a complete picture of the forecast over the entire operating interval. A comparison with production results on a case study confirms the benefits of the forecasting procedure used.

Mechanistic insight into heteroatom removal from vacuum gas oil blended with PMMA or PET waste.

This work analyzes vacuum gas oil (VGO) and hydrocracking products of feed blended with polymethylmethacrylate (PMMA) or polyethylene terephthalate (PET) in depth to clarify the oxygen, nitrogen, and sulfur removal pathways in these complex mixtures. Hydrocracking reactions are conducted in a semi-batch reactor with a Pt-Pd/HY bifunctional catalyst at 400 °C and 80 bar for 300 min with 10 wt% waste plastic using 0.1 catalyst/feed weight ratio. The samples are analyzed using various techniques, including high-resolution mass spectrometry, providing an improved, more detailed analytical representation. The results demonstrate the synergistic effect of cofeeding oxygenated plastics to the VGO, altering the preferential reaction pathways of heteroatom-containing species in the following order: nitrogen, oxygen, and sulfur. We assess the chemical structures from the gathered data, establish plausible reaction mechanisms, and evaluate the catalyst's role.

Effect of common horsetail extract on growth characteristics, essential oil yield and chemical compositions of basil (Ocimum basilicum L.)

To investigate the effect of horsetail extract containing high silicon on morphological traits, growth, content, and compositions of essential oil of sweet basil (Ocimum basilicum L.) an experiment turned into carried out in the shape of a randomized complete block design with three replications. Foliar treatment of horsetail extract with zero, 0.5, 1, and 2% concentrations was applied on 6–8 leaf plants. The assessed traits include plant height, number of leaves per plant, number of sub-branches, leaf area index, plant fresh weight, plant dry weight, total anthocyanin, the content of total phenol and total flavonoid, antioxidant activity, essential oil content, and compounds were measured. The findings demonstrated that the increase of silicon-containing horsetail extract enhanced the improved increase in growth and phytochemical trait values. The use of horsetail extract in the 2% treatment increased plant height, the number of leaves per plant, the number of sub-branches, leaf area index, fresh weight, and dry weight of the plant by 49.79, 45.61, 91.09, 99.78, 52.78 and 109.25%, respectively, compared to the control. The highest content of total phenol (2.12 mg GAE/g DW), total flavonoid (1.73 mg RE/g DW), total anthocyanin (0.83 mg C3G/g DW), and antioxidant activity (184.3 µg/ml) was observed in the 2% extract treatment. The content of essential oil increased with increasing the concentration of horsetail extract, so the highest amount of essential oil was obtained at the concentration of 2%, which increased by 134.78% compared to the control. By using GC–MS, the essential oil was analyzed. The main components of the essential oil include methyl eugenol (12.93–25.93%), eugenol (17.63–27.51%), 1,8-cineole (15.63–20.84%), linalool (8.31–19.63%) and (Z)-caryophyllene (6.02–14.93%). Increasing the concentration of horsetail extract increased the compounds of eugenol, 1,8-cineole, and linalool in essential oil compared to the control, but decreased the compounds of methyl eugenol and (Z)-caryophyllene. Foliar spraying of horsetail extract, which contains high amounts of silicon, as a stimulant and biological fertilizer, can be a beneficial ingredient in increasing the yield and production of medicinal plants, especially in organic essential oil production.

Phytoremediation of radium contaminated soils: recent advances and prospects

Abstract Radioactive radium (Ra) mainly comes from the mining and milling of uranium and other metal or non-metal mines, phosphate production and fertilizer use, production of oil and gas, coal combustion, wastewater treatment, and various wastes from the above activities, which is ubiquitous in the environment. Phytoremediation is a green and cheap remediation technology for metal/radionuclide-contaminated sites. Radium is often of particular interest and there are many literatures on parameters of Ra concentration in plants and transfer factors from soil to plant from a radiological impact assessment point of view. However, review articles on phytoremediation of Ra-polluted soil are relatively few. This review focused on radium-polluted soil phytoremediation, involving two main strategies of phytoextraction and phytostabilization, which covered the potential (hyper)accumulators for Ra, characteristics of Ra uptake from soil by plants, influencing factors, and phytostabilization application. In future research works, more attention should be paid to the deep insights and mechanism researches of Ra uptake/immobilization by plants. This review will deepen the understanding of the relationship of radium-soil-plants, and to enhance the potential application of phytoremediation as an alternative treatment technology for remediation of Ra-polluted soil site.

Comparative Study of Microwave, Pulsed Electric Fields, and High Pressure Processing on the Extraction of Antioxidants from Olive Pomace

Olive oil production is characterized by large amounts of waste, and yet is considerably highly valued. Olive pomace can serve as a cheap source of bioactive compounds (BACs) with important antioxidant activity. Novel technologies like Pulsed Electric Fields (PEF) and High Pressure (HP) and microwave (MW) processing are considered green alternatives for the recovery of BACs. Different microwave (150–600 W), PEF (1–5 kV/cm field strength, 100–1500 pulses/15 µs width), and HP (250–650 MPa) conditions, in various product/solvent ratios, methanol concentrations, extraction temperatures, and processing times were investigated. Results indicated that the optimal MW extraction conditions were 300 W at 50 °C for 5 min using 60% v/v methanol with a product/solvent ratio of 1:10 g/mL. Similarly, the mix of 40% v/v methanol with olive pomace, treated at 650 MPa for the time needed for pressure build-up (1 min) were considered as optimal extraction conditions in the case of HP, while for PEF the optimal conditions were 60% v/v methanol with a product/solvent ratio of 1:10 g/mL, treated at 5000 pulses, followed by 1 h extraction under stirring conditions. Therefore, these alternative extraction technologies could assist the conventional practice in minimizing waste production and simultaneously align with the requirements of the circular bioeconomy concept.

Arachis pintoi Krapov. & W.C. Greg.–A multifunctional legume

AbstractArachis pintoi, commonly known as pinto or forage peanut, is used mainly in consortia with grass pastures and as cover plant. In addition to increasing the productivity of livestock and plantations, it contributes to the mitigation of environmental impacts (reduction of greenhouse gas emissions) and soil improvement (nitrogen fixation, reduction of fertilizers use), as well as to pests and disease management. Several cultivars that are tolerant to specific climates and soil conditions are suitable to be used as ground covers in agroforestry and silvopastoral systems, orchards, and plantations. Biotechnological and phytochemical investigations revealed the potential of pinto peanut as a sustainable source of resveratrol and other stilbenoids. Extracts from plants grown under natural conditions and from materials obtained in vitro displayed allelopathic, anthelmintic, or antioxidant activities. Other studies revealed the potential of pinto peanut for erosion control, phytoremediation, seed and essential oils production, materials for animal tissue engineering, synthesis of nanoparticles for drug delivery, and as green biorefineries to produce proteins, biochemicals, and biomaterials.

Glandular Trichomes and Essential Oils Variability in Species of the Genus Phlomis L.: A Review

The genus Phlomis is one of the largest genera in the Lamiaceae family and includes species used since ancient times in traditional medicine, as flavoring for food and as fragrance in cosmetics. The secretory structures (represented by glandular trichomes) as well as the essential oils produced by them constitute the subject of this review. While representatives of this genus are not typically regarded as large producers of essential oils compared to other species of the Lamiaceae family, the components identified in their essential oils and their biological properties necessitate more investigation of this genus. A comprehensive analysis of the specialized literature was conducted for each of the 93 currently accepted species to identify all the results obtained by researchers regarding the secretory structures and essential oils of this genus up to the present time. Glandular trichomes, still insufficiently studied, present morphological peculiarities that differentiate this genus within the family: they are of two categories: capitate (with a wide distribution in this genus) and dendroid. The peltate trichomes, characteristic of many species of this family, are absent. The essential oils from the species of the genus Phlomis have been much more widely studied than the secretory structures. They show considerable variability depending on the species and the environmental conditions.

Classifying PDO Kalamata Olive Oil from Geographic Origins of the Messenia Region based on Statistical Machine Learning

Kalamata is a smart city located in southeastern Greece in the Mediterranean basin and it is the capital of the Messenia regional unit. It is known for the famous Protected Designation of Origin (PDO) Kalamata olive oil produced mainly from the Koroneiki olive variety. The PDO Kalamata olive oil, established by Council regulation (EC) No 510/2006, owes its quality and special characteristics to the geographical environment, olive tree variety, and human factor. The PDO Kalamata olive oil is produced exclusively in the regional unit of Messenia, being the main profit of local farmers. However, soil chemical composition, microclimates, and agronomic factors are changed within the Messenia spatial area leading to differentiation of PDO Kalamata olive oil characteristic. In this paper, we use statistical machine learning algorithms to determine the geographical origin of Kalamata olive oil at PDO level based on synchronous excitation−emission fluorescence spectroscopy of olive oils. Evaluations of the statistical models are promising for differentiating the origin of PDO Kalamata olive oil with high values of prediction accuracy thus enabling companies that process and bottle kalamata olive oil to choose olive oil from a specific region of Messenia that fulfills certain characteristics. Concretely, the current research effort focuses on a specific olive oil variety within a limited geographic region. Intuitively, future research should also focus on validation of the proposed methodology to other olive oil varieties and production areas.

Indexing heat stress-induced changes in Indian mustard germplasm using biochemical traits, stress tolerance indices and seed morphological features

Heat stress in Brassica is a great threat to its productivity and it is a major abiotic challenge in the current scenario of changing global climatic conditions. Oil production from Brassica is the second largest production after soybean, globally. In this study, 32 Indian mustard accessions were evaluated (post-anthesis stage) under heat stress in field conditions during the rabi season of 2019-20, by being exposed to 3 different growing conditions i.e., early, optimum and late sowing. Biochemical assays were performed at the post-anthesis stage to analyze the best-performing accessions under heat stress during the rabi season of 2021-22. Seed morphological parameters and stress indices (MDA, proline content) were used to find high-performing accessions. The results showed a significant correlation between yield under stress and STI (stress tolerance index), YI (yield index), SSPI (stress susceptibility percent index) and MP (mean productivity), indicating the utility of these indices in the selection of heat-tolerant and high-yielding lines. Based on the morphological, seed yield and quality parameters, accessions IC280920, IC401575, IC426400, IC491509 and IC570301 were found tolerant to heat stress as compared to other accessions. Therefore, the selected accessions can be utilized to improve crop Brassica, especially under heat stress.

The assessment of essential oil potential from waste logging of different eucalyptus clones in PT Toba Pulp Lestari Tbk's industrial plantation forests, Indonesia

PT. Toba Pulp Lestari Tbk's Industrial Plantation Forest is the largest forest company in North Sumatra Province, with a total area of 188055 ha. Eucalyptus leaves in this company have not been optimally utilized and processed, commonly left as waste. This study aims to calculate the potential of leaves and the potential production of essential oils from eucalyptus leaves which are waste from logging. The method used to calculate the potential of eucalyptus leaves from logging waste is to measure the weight of the leaves from the sample tree. The yield of essential oils produced from eucalyptus leaves is obtained through distillation techniques in the laboratory. The annual production potential of essential oils is calculated using annual logging area data for each clone. The study produced average data on eucalyptus leaf potential from logging waste for each clone and the entire logging area per year. Distillation was performed on all clones to produce eucalyptus oil's average yield and density. Conversion of yield with leaf potential and area of felling results in the amount of oil produced from felled logging waste leaf per year. The potential for eucalyptus production is very significant and related to efforts to increase the economy of non-timber forest products.

The influence of pectinase treatments on the characteristics of pre‐treated and lyophilised sunflower meal‐whey blends

SummaryWhey and sunflower meals are primary by‐products of dairy cheese and vegetable oil production, respectively. Due to their widespread abundance, their valorisation could enable the generation of various value‐added food ingredients or products. In this study, an effort was made to utilise enzymatic pectinolysis along with other pre‐treatments to generate mixtures from whey and sunflower meal (SFM). The increasing presence of SFM increased the critical denaturation temperature of the mixtures and induced less protein structural changes. In addition, the presence of complex carbohydrates in SFM enhanced water and oil holding capacities. In general, pectinase and ultrasonication led to enhanced foaming of the mixtures, although the foams were relatively short‐lived. SFM inclusion limited foaming and emulsification capacities of the blends. In most cases, increasing the ratio of SFM to protein resulted in lower total reducing sugars (TRS), suggesting a more limited enzymatic activity. On the other hand, heating temperature or ultrasonication improved the extent of pectinolysis. Pre‐treatments and pectinolysis improved the functional properties of SFM and whey protein concentrate blends and are promising as an alternative protein source in new product applications.

Reservoir Simulations of Hydrogen Generation from Natural Gas with CO2 EOR: A Case Study

This paper addresses the problem of hydrogen generation from hydrocarbon gases using Steam Methane Reforming (SMR) with byproduct CO2 injected into and stored in a partially depleted oil reservoir. It focuses on the reservoir aspects of the problem using numerical simulation of the processes. To this aim, a numerical model of a real oil reservoir was constructed and calibrated based on its 30-year production history. An algorithm was developed to quantify the CO2 amount from the SMR process as well as from the produced fluids, and optionally, from external sources. Multiple simulation forecasts were performed for oil and gas production from the reservoir, hydrogen generation, and concomitant injection of the byproduct CO2 back to the same reservoir. EOR from miscible oil displacement was found to occur in the reservoir. Various scenarios of the forecasts confirmed the effectiveness of the adopted strategy for the same source of hydrocarbons and CO2 sink. Detailed simulation results are discussed, and both the advantages and drawbacks of the proposed approach for blue hydrogen generation are concluded. In particular, the question of reservoir fluid balance was emphasized, and its consequences were presented. The presented technology, using CO2 from hydrogen production and other sources to increase oil production, also has a significant impact on the protection of the natural environment via the elimination of CO2 emission to the atmosphere with concomitant production of H2.

Unlocking the potential of spent coffee grounds via a comprehensive biorefinery approach: production of microbial oil and carotenoids under fed-batch fermentation.

The valorization of renewable feedstock to produce a plethora of value-added products could promote the transition towards a circular bioeconomy. This study presents the development of cascade processes to bioconvert spent coffee grounds (SCGs) into microbial oil and carotenoids employing sustainable practices. The stepwise recovery of crude phenolic extract and coffee oil was carried out using green or recyclable solvents, i.e., aqueous ethanol and hexane. Palmitic acid (43.3%) and linoleic acid (38.9%) were the major fatty acids in the oil fraction of SCGs. The LC-MS analysis of crude phenolic extracts revealed that chlorogenic acid dominated (45.7%), while neochlorogenic acid was also detected in substantial amounts (24.0%). SCGs free of coffee oil and phenolic compounds were subjected to microwave-assisted pretreatment under different irradiations and solvents to enhance subsequent enzymatic saccharification. Microwave/water pretreatment at 400 W, followed by enzymatic hydrolysis with proteases, hemicellulases, and cellulases, at 50g/L initial SCGs, led to satisfying overall yields of cellulose (75.4%), hemicellulose (50.3%), and holocellulose (55.3%). Mannan was the most extractable polysaccharide followed by galactan and arabinan. SCGs hydrolysate was used in fed-batch bioreactor fermentations with Rhodosporidium toruloides to produce 24.0g/L microbial oil and carotenoids of 432.9μg/g biomass.

Effect of n‐pentanol with novel water hyacinth biodiesel‐diesel ternary blends on diesel engine performance and emission characteristics

AbstractPresent research deals with crude oil production from water hyacinth biomass and its biodiesel preparation. Alcohol additive n‐pentanol is mixed with biodiesel and diesel blends to identify their effects on diesel engine performance and emission parameters experimentally. Water hyacinth oil (WHO) is produced through Soxhlet extraction technique, and its biodiesel is prepared by transesterification. n‐pentanol is mixed through magnetic stirring in biodiesel‐diesel blends to improve their combustion quality and efficiency. Prepared fuel blends properties are examined as per ASTM standards. Experimental results reveal that, BSFC and BTE are evaluated as 0.26 kg/kW‐h and 29.5%, respectively, with HC emissions as 29 ppm, CO emissions as 0.28 vol%, NOx emissions as 330 ppm and CO2 emissions as 2.21 vol% for WHB20D75P5 fuel at maximum load. The comparison of D100 and WHB20D80 with respect to WHB20D75P5 reveals 3.27% reduction and 7.27% improvement in BTE, respectively. Both HC and CO are reduced by 14.70% and 22.22% for WHB20D75P5 fuel compared to diesel. NOx and CO2 emissions are increased by 6.79% and 12.75% for WHB20D75P5 fuel compared to diesel. Overall, WHB20D75P5 fuel is the best performer.

Multiscale and multidisciplinary data-driven reservoir characterization of a fractured carbonate field in Kurdistan

Abstract The combination of traditional subsurface interpretation techniques with advanced data analytics is a key stepping stone for better predicting reservoir quality, especially in heterogeneous and complex geological systems. The Peshkabir oil and gas field, located in the north of the Kurdistan Region of Iraq and within the Tawke Production Sharing Contract, is one such heterogeneous system. Well oil rates vary significantly across the field and cannot be simply correlated to fracture densities measured at the wells. Understanding which fractures matter and what influences reservoir deliverability is a question of major importance for maximizing oil production. The carbonate reservoirs include karstified vuggy zones and hydrothermal dolostones, in addition to an extensively developed fractured network. This paper presents a geological conceptual model for the Peshkabir field, and an application of Python based data science techniques to identify key predictors of reservoir deliverability from drilling, logging and production data. We demonstrate that the major advantage of the application of advanced data analytics is that it can enable the recognition of patterns and associations in a complex, high-dimensional parameter environment whereas traditional interpretation methods typically only allow for the comparison of two or three parameters at a time. This method allows the integration of dynamic and static data effectively and empowers the interpreter to incorporate all the available insights which, coupled with domain knowledge, allows for data-driven decision-making.

The Effects of Oil Price on Energy Production and the Ecuadorian Economy

Through an empirical analysis of the impact of variations in the international price of oil on the economic production of different strategic sectors and on energy production from various sources in Ecuador, the study seeks to show evidence on the economic effects of the price of oil. in a Latin American economy strongly linked to oil production. For this, relevant data were collected on production in different economic sectors, on the type of ownership in oil production and on energy production in various energy sources in Ecuador and statistical analyzes were carried out to evaluate the relationships between these and the international oil price. The results indicate that the effect of the oil price varies between the economic sectors of Ecuador. Some sectors, such as financial services and construction, show positive responses, while others, such as agriculture and fishing, appear less affected. The oil and mining sector in Ecuador is strongly linked to variations in the price of oil. The positive and significant response of the Oil and Mines GDP underlines the sensitivity of this sector to changes in international prices. Furthermore, energy production in Ecuador exhibits heterogeneous responses to variations in the price of oil. Forms of energy such as wind, solar, and thermal energy show positive and significant responses, while hydropower presents a negative response in some periods. Positive responses in forms of energy such as wind, solar, and thermal may indicate that the increase in the price of oil positively influences investment decisions in these energy sources. The study provides a significant contribution to the field of energy economics in oil-exporting countries and, particularly, in developing countries, as well as highlights the importance of energy diversification for these types of economies.

Phytochemical Characterization and Biological Activities of Essential Oil from Satureja montana L., a Medicinal Plant Grown under the Influence of Fertilization and Planting Dates

The rising demand for safe plant compounds and herbal products that contribute positively to human health is in line with current market trends. Plants belonging to the Satureja genus, particularly the aromatic medicinal S. montana L. from the Lamiaceae family, are well suited to these trends as they serve as pharmaceutical raw materials. This research aimed to assess the influence of sowing date and fertilization doses, as well as their interaction, on the fresh weight, essential oil content, and composition of S. montana. Experimental cultivation involved varying nitrogen and phosphorus levels. The second cut had the highest fresh weight and oil production compared to the first cut. The highest total plant biomass was achieved with autumn sowing and fertilization at 55 kg N/ha and 37 kg P/ha, whereas Spring sowing exhibited higher essential oil production, with the maximum oil % with 74 kg P/ha and oil yield after applying 55 kg N/ha and 74 kg P/ha. The GC-MS analysis revealed that carvacrol was the predominant compound, with it being recommended to grow S. montana in Spring at doses of 55 kg N/ha and 74 kg P/ha for the superior oil yield. Additionally, S. montana essential oil demonstrated notable biological and antimicrobial activity, positioning it as a potential alternative to chemical food preservatives.

Financial Performance and Total Resources: Trend and sensitivity Analysis of Indian Oil Exploration and Production Companies

The firms involved in the exploration and production (E&P) of natural gas resources and crude oil play a crucial role in the energy sector and contribute to the economy. Exploration and production refer to discovering, drilling, and extracting natural gas resources and crude oil from beneath the earth’s surface. Exploration and production firms provide a base for the downstream companies to make crude oil consumable. The financial performance of the downstream companies depends on the cost efficiency of the E&P firms. The purpose of the study is to determine the relationship between the total resources and measures of financial performance. The study is based on secondary data and financial ratios, index numbers applied to get the financial performance, and variability of financial performance. Correlation is used to get the trend and quick impact of variability on the total assets on the financial measures in the short and long run. The study found that while return on total resources is positively influenced in the long run, profitability based on sales and short-term paying ability is negatively governed by the absolute quantity of expansion of all available resources. Although the long-term association is positive, there is a short-term lag in the positive increase of the total resources on the ROA. Overall, based on their average absolute amount of total resources, relatively, the mutual study of the mean growth rate of all resources and financial indicators of Indian E&P explore negativity.

Measurement-based carbon intensity of US offshore oil and gas production

Abstract The United States (US) produces oil and gas from six offshore regions: the North Slope of Alaska, Cook Inlet in Alaska, offshore California, and three Gulf of Mexico (GOM) sub-regions: state shallow, federal shallow, and deep waters. Measurement-based assessment of direct greenhouse gas emissions from this production can provide real-world information on carbon emissions to inform decisions on current and future production. In evaluating the climate impact of production, the Carbon Intensity (CI, the ratio of greenhouse gases emitted compared to the energy of fuels produced) is often used, though it is rarely quantified with measurements. Here, we complete an observational evaluation of the US offshore sector and present the largest current set of measurement-based CIs. We collected airborne measurements of methane, carbon dioxide, and nitrogen oxides from the North Slope, Cook Inlet, and California and combined with prior GOM results. For Alaska and California, we found emissions agree with facility-level inventories, however, the inventories miss some facilities. The US offshore CI, on a 100-year GWP basis, is 5.7 gCO2e/MJ[4.5, 6.8, 95% confidence interval]. This is greater than double the CI based on the national US inventory, with the discrepancy attributed primarily to methane emissions from GOM shallow waters, with a methane dominated CI of 16[12, 22] for GOM federal shallow waters and 43[25-65] for state shallow waters. Regional intensities vary, with carbon dioxide emissions largely responsible for CI on the North Slope 11[7.5, 15], in Cook Inlet 22[13, 34], offshore California 7.2[3.2, 13], and in GOM deep waters 1.1[1.0, 1.1]. These observations indicate offshore operations outside of the GOM in the US have modest methane emissions, but the CI can still be elevated due to direct carbon dioxide emissions. Accurate assessment of different offshore basins, with differing characteristics and practices, is important for the climate considerations of expanded production.