Creation of geodynamic polygons and technologies for conducting geodynamic monitoring in the hydrocarbon fields

2021 ◽  
Vol 143 (2) ◽  
pp. 3-13
Author(s):  
А. Аbetov ◽  
◽  
S. Kudaibergenova ◽  
V. Sidorov ◽  
◽  
...  
2021 ◽  
pp. 1-18
Author(s):  
Gisela Vanegas ◽  
John Nejedlik ◽  
Pascale Neff ◽  
Torsten Clemens

Summary Forecasting production from hydrocarbon fields is challenging because of the large number of uncertain model parameters and the multitude of observed data that are measured. The large number of model parameters leads to uncertainty in the production forecast from hydrocarbon fields. Changing operating conditions [e.g., implementation of improved oil recovery or enhanced oil recovery (EOR)] results in model parameters becoming sensitive in the forecast that were not sensitive during the production history. Hence, simulation approaches need to be able to address uncertainty in model parameters as well as conditioning numerical models to a multitude of different observed data. Sampling from distributions of various geological and dynamic parameters allows for the generation of an ensemble of numerical models that could be falsified using principal-component analysis (PCA) for different observed data. If the numerical models are not falsified, machine-learning (ML) approaches can be used to generate a large set of parameter combinations that can be conditioned to the different observed data. The data conditioning is followed by a final step ensuring that parameter interactions are covered. The methodology was applied to a sandstone oil reservoir with more than 70 years of production history containing dozens of wells. The resulting ensemble of numerical models is conditioned to all observed data. Furthermore, the resulting posterior-model parameter distributions are only modified from the prior-model parameter distributions if the observed data are informative for the model parameters. Hence, changes in operating conditions can be forecast under uncertainty, which is essential if nonsensitive parameters in the history are sensitive in the forecast.


Author(s):  
Yu.R. Vladov ◽  
◽  
M.Yu. Nesterenko ◽  
Yu.M. Nesterenko ◽  
A.Yu. Vladova ◽  
...  

The predominant area of application of the developed methodology is the construction of the distribution of the geodynamic state of the developed hydrocarbon fields in oil and gas basin, and the identification of the corresponding distribution law. A number of the hydrocarbon deposits in terms of geological conditions of occurrence, structure and other parameters are geodynamically hazardous during their development. The Federal Law «On Subsurface Resources» (Article 24) requires conducting a complex of geological, surveying, and other observations sufficient for ensuring a normal technological cycle of work, and the prediction of hazardous situations. The developed methodology based on the construction of aggregated additive models for each reservoir and field is presented. It includes four sequential stages (24 operations): first — prepare geodynamic data; second — determine the geodynamic state of productive strata; third — find the geodynamic state of the developed deposits subsoil; fourth — build the distribution of the bowels geodynamic state of these fields for the entire oil and gas basin and identify the relevant distribution law. Oil and gas basin in the west of the Orenburg Region (Volga — Ural and Caspian oil and gas provinces) is considered as an example of implementation. Unique data of twenty geodynamic parameters of 320 productive strata (56 fields) were used. It is revealed that in accordance with the Pearson criterion, the theoretical data with a high confidence probability (95 %) correspond to the law of normal distribution. Developed methodology has significant technical and economic advantages, since it allows to identify the geodynamic state of productive strata and subsoil of the fields being developed, to identify hazardous geodynamic processes and to choose rational modes for the development of hydrocarbon deposits.


2021 ◽  
Author(s):  
V. Hladik ◽  
R. Prochac ◽  
M. Pereszlenyi ◽  
R. Berenblyum ◽  
A. Shchipanov ◽  
...  

2016 ◽  
Vol 4 (4) ◽  
pp. T637-T655
Author(s):  
Josiah Hulsey ◽  
M. Royhan Gani

This study shows how the use of current geological investigative techniques, such as sequence stratigraphy and modern seismic interpretation methods, can potentially discover additional hydrocarbons in old fields that were previously considered depleted. Specifically, we examine the White Castle Field in South Louisiana, which has produced over 84.1 million barrels of oil and 63.1 billion cubic feet of gas but retains additional recoverable hydrocarbons. The field has pay sections ranging from late Oligocene to late Miocene. The upper Oligocene to early Miocene package, which was underexploited and understudied during the previous exploitation phase, contains three primary reservoirs (Cib Haz, MW, and MR). During most of the late Oligocene, the White Castle Salt Dome was located in a minibasin on the continental slope. The Cib Haz and MW reservoirs were deposited in this minibasin and offer great exploitation potential. The Cib Haz interval is an amalgamation of slumped shelfal limestones, sandstones, and shales interpreted to represent a lowstand systems tract (LST). The MW comprises a shelf-edge delta deposit that is also interpreted as part of a LST. The MR reservoir is interpreted as an incised valley fill located in the continental shelf that was deposited during a lowstand of sea level after the minibasin was filled. Finally, it appears that the minibasin acted as a self-contained hydrocarbon system during the late Oligocene, suggesting the possibility of a shale play. In this study, several new areas of interest are revealed that could contain economical amounts of hydrocarbons.


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