Increasing Efficiency of Field Water Re-Injection during Water-Flooding in Mature Hydrocarbon Reservoirs: A Case Study from the Sava Depression, Northern Croatia

Malvić, Tomislav; Ivšinović, Josip; Velić, Josipa; Sremac, Jasenka; Barudžija, Uroš

doi:10.3390/su12030786

Cited by 7 publications

(5 citation statements)

References 19 publications

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“…This is a widely used interpolation method, both for small and large datasets. The unknown value is calculated based on all known points and is inversely proportional to their distances [47].…”

Section: Climatological Time Seriesmentioning

confidence: 99%

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

et al. 2020

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In this research, vegetation indices (VIs) were analyzed as indicators of the spatio-temporal variation of vegetation in a semi-arid region. For a better understanding of this dynamic, interactions between vegetation and climate should be studied more widely. To this end, the following methodology was proposed: (1) acquire the NDVI, EVI, SAVI, MSAVI, and NDMI by classification of vegetation and land cover categories in a monthly period from 2014 to 2018; (2) perform a geostatistical analysis of rainfall and temperature; and (3) assess the application of ordinary and uncertainty least squares linear regression models to experimental data from the response of vegetation indices to climatic variables through the BiDASys (bivariate data analysis system) program. The proposed methodology was tested in a semi-arid region of Zacatecas, Mexico. It was found that besides the high values in the indices that indicate good health, the climatic variables that have an impact on the study area should be considered given the close relationship with the vegetation. A better correlation of the NDMI and EVI with rainfall and temperature was found, and similarly, the relationship between VIs and climatic factors showed a general time lag effect. This methodology can be considered in management and conservation plans of natural ecosystems, in the context of climate change and sustainable development policies.

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Section: Climatological Time Seriesmentioning

confidence: 99%

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

et al. 2020

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“…The value of POS for the western part of the Sava Depression is 0.5625 (Ivšinović et al 2020). Modification of POS for the needs of formation water injection was made by Malvić et al (2020), in which they replaced the category "field water" with "injection of field water", and the calculated POS was 0.5625. The new "workovers" category expands and upgrades the existing POS in terms of the impact of the workovers themselves on injectivity.…”

Section: Resultsmentioning

confidence: 99%

Risk and Financial Cost Management of Injection Wells in Mature Oil Fields

Ivšinović¹,

Pleteš²

2021

JRFM

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Risk and financial cost management are becoming increasingly important in the oil industry, especially in companies that have mature oil fields as assets. In such cases, risk and cost analysis are crucial to their existence. The paper analyzes the risks and costs through the modification of geological probability of success (POS) and obtaining the cost correction coefficient when planning capital investments in injection wells. Mature oil field “B” in the northern part of the Republic of Croatia was analyzed. For field “B”, these values were calculated: 0.8577 for probability of success for workovers, 0.4824 for modified POS for reservoir flooding, and 1.30 for cost correction coefficient for workovers.

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“…Taken from [8]. Recently, [9] modified PoS applied for assessment of water injection success in the western part of the Sava Depression.…”

Section: Table 12 Values Of Subcategory Probabilities For Individuamentioning

confidence: 99%

Geological Risk Calculation through Probability of Success (PoS), Applied to Radioactive Waste Disposal in Deep Wells: A Case Study in the Pre-neogene Basement in the Northern Croatia

Malvić¹,

Dinis²,

Velić³

et al. 2020

Preprint

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The basic principles of geological risk calculation through Probability of Success (PoS) are mostly applied for numerical estimation of additional hydrocarbon existence in proven reservoirs or potential hydrocarbon discoveries in selected geological regional subsurface volume. It can be tailored and validated for a comprehensive input dataset collected in the selected petroleum province, adapted by dividing up geological events into several probability categories and classes. The most applied categories are (existence of) reservoir rocks, traps and isolators, source rocks, migration pathways and preservation conditions for hydrocarbons The methodology results in unique probability values as multiplication of independent statistical events, which can also be applied in the assessment of a potential hydrocarbon discovery of desired minimal volume and its value in any virtual currency like risk-neutral dollars. Such methodology has been extensively developed in the last decades in the Croatian subsurface, mostly in the Croatian part of the Pannonian Basin System (CPBS). Through the adaptation of geological categories, it was also applied in hybrid, i.e., stochastical, models developed in the CPBS (Drava Depression). Stochastically estimation of porosity was already applied. As the robustness of this methodology is very high, it was also modified to estimate the influence of water-flooding in increasing oil recovery in some proven Neogene sandstone reservoirs in the CPBS (Sava Depression). This new modification is being presented to be applied to geological risk calculation, intending to assess the safety of geological environment in deep wells, where depleted radioactive fuel would be disposed, a subject of great importance. The case study encompassed the magmatic and metamorphic rocks in the pre-Neogene basement of the CPBS. For disposal purpose, these are regionally lithologies considered as to be the safest ones considering petrophysical values, water saturation, recent weathering and tectonic activity.

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Increasing Efficiency of Field Water Re-Injection during Water-Flooding in Mature Hydrocarbon Reservoirs: A Case Study from the Sava Depression, Northern Croatia

Cited by 7 publications

References 19 publications

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

Risk and Financial Cost Management of Injection Wells in Mature Oil Fields

Geological Risk Calculation through Probability of Success (PoS), Applied to Radioactive Waste Disposal in Deep Wells: A Case Study in the Pre-neogene Basement in the Northern Croatia

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