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How can you optimize well logging data sampling density for minimum uncertainty?

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Well logging data is essential for drilling engineering, as it provides information on the formation properties, fluid content, and reservoir quality. However, well logging data also has inherent uncertainty, which can affect the accuracy and reliability of the analysis and interpretation. One way to reduce uncertainty is to optimize the sampling density of well logging data, which refers to the number and spacing of data points along the wellbore. In this article, you will learn how to optimize well logging data sampling density for minimum uncertainty, based on four factors: data quality, data resolution, data redundancy, and data cost.

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?lqar C?f?rov

Geoloq | Az?rbaycan dilini geologiyada ya?ad?ram
Maykson Araújo

Floorhand
Josue Gonzalez Tandy

Wellsite Geologist | 21 years experience oil and gas | Skilled in Petrel, log analysis and sedimentology |

1 Data quality

Data quality is the degree to which the well logging data reflects the true values of the formation parameters. Data quality can be influenced by various sources of error, such as tool calibration, environmental effects, borehole conditions, and human factors. To optimize data quality, you need to select the appropriate logging tools and methods, apply proper correction and calibration procedures, and check for data consistency and validity. You also need to consider the measurement uncertainty of each logging tool, which is the range of possible values that the tool can produce for a given parameter.

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?lqar C?f?rov

Geoloq | Az?rbaycan dilini geologiyada ya?ad?ram
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Karotaj m?lumatlar?n?n keyfiyy?ti dedikd?, geofiziki t?dqiqat?n n?tic?l?rinin (diaqram, inklinometrl?r) keyfiyy?ti n?z?rd? tutulur. Bunun ü?ün is? ?l?ü i?i apar?lacaq lay?n xüsusiyy?tl?ri (temperatur, t?zyiq), ?l?ü i?i aparacaq cihaz?n parametrl?rinin h?min layda i?l?m?sinin mümkünlüyü n?z?r? al?nmal?d?r. Cihaz h?min mühitd? normal i? aparacaq ??kild? haz?rlanmay?bsa, bu, m?lumatlara m?nfi t?sir g?st?r? bil?r. H?m?inin cihaz quyuya endirilm?mi?d?n ?vv?l v? quyudibind? olanda, ?l?ü i?in? ba?lamazdan ?vv?l karotaj cihaz?n?n i?l?m?si yoxlan?lmal?d?r. ?l?ü sür?ti d? i?in keyfiyy?tin? t?sir edir. Bu sür?t ?l?ü i?inin n?vünd?n as?l? olaraq d?yi?ir. Yol veril? bil?n sür?t h?ddinin a??lmas? keyfiyy?tsiz ?l?ünün al?nmas?na g?tirib ??xara bil?r.

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Maykson Araújo

Floorhand
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Toda análise inicial do po?o pode vim com certo erro , isso é normal ,mas nos devemos ter uma certeza , no petróleo n?o a espa?o para erros

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Kevin Kelm

Director @ Progressive Completions
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For E-line and mud logging using a perf magnet below the tool string or magnets on the shaker can eliminate metal which can affect logging results and give more consistent data.

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Akhil T.
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While playing with datasets from logging its always best to plot histograms to check data distribution. This helps for any outlier detection.

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DANNY MIGUEL REVILLA VARGAS

Consultor - Ingeniero de Proyecto
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además de la calidad de datos, resolución, redundancia y costos, también esta la correlación constante entre todos los datos obtenidos en diferentes fases del proyecto con un equipo integrado que incluya la participación de geólogo, geofísico, ingeniero de perforación y reservorista para lograr así la mejor toma de decisiones en la planificación y ejecución del proyecto. Considerar tecnologías y métodos innovadores también ayudara a reducir la incertidumbre.

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2 Data resolution

Data resolution is the smallest distance or interval that the well logging data can distinguish between different formation features. Data resolution can affect the level of detail and accuracy of the well logging data, especially for thin beds, fractures, and heterogeneities. To optimize data resolution, you need to choose the logging tools and methods that have the highest sensitivity and resolution for the target parameters. You also need to adjust the sampling density according to the expected variation and complexity of the formation. For example, you may need to increase the sampling density in zones with high contrast or rapid changes, and decrease it in zones with low contrast or gradual changes.

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Josue Gonzalez Tandy

Wellsite Geologist | 21 years experience oil and gas | Skilled in Petrel, log analysis and sedimentology |
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Many times this tool is run in association with the sonic log (P and S wave), this involves a great arrangement in both measurements and bandwidth for the information to travel, poor information and poor resolution, issues such as optimal expenditure, and ideal ROP drilling conditions for obtaining The data must be evaluated with a simulation or experience of the Operations Geologist that can solve at any given moment the question of which data is the most important and quality necessary for the company if we only have the possibility of obtaining a certain quality data.

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Akhil T.
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Logging tools are always very intuitively developed. For every tool developed to resolve to successive layers there is always a tool that might resolve poorly but instead has a good depth of investigation

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3 Data redundancy

Data redundancy is the degree to which the well logging data provides overlapping or complementary information on the same formation parameters. Data redundancy can help to reduce uncertainty by increasing the confidence and reliability of the well logging data, as well as providing cross-validation and quality control. To optimize data redundancy, you need to use multiple logging tools and methods that measure the same or related parameters, but with different physical principles, sensitivities, and resolutions. You also need to balance the benefits of data redundancy with the drawbacks of data correlation and duplication, which can increase the complexity and cost of data analysis and interpretation.

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Akhil T.
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Person in charge of playing with complex log data coming from all kinds of tools must be possessing proper domain understanding to drop highly correlated readings. There are no hard and fast rules here, it all depends on the objective that we are trying to achieve.

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4 Data cost

Data cost is the amount of resources and expenses that are required to acquire, process, and analyze the well logging data. Data cost can depend on various factors, such as the type and number of logging tools and methods, the length and depth of the wellbore, the operational time and risk, and the data storage and management. To optimize data cost, you need to evaluate the trade-off between the value and the cost of the well logging data, based on your objectives and constraints. You also need to prioritize the most critical and relevant parameters and zones, and use the most efficient and effective logging tools and methods for your purpose.

By optimizing well logging data sampling density for minimum uncertainty, you can improve the quality and reliability of your drilling engineering decisions, as well as save time and money. However, optimizing well logging data sampling density is not a one-size-fits-all solution, but a case-specific and dynamic process that requires careful planning, execution, and evaluation. You also need to consider other factors that may affect the uncertainty of well logging data, such as formation complexity, data integration, and data interpretation.

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Josue Gonzalez Tandy

Wellsite Geologist | 21 years experience oil and gas | Skilled in Petrel, log analysis and sedimentology |
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Always keep in mind the prices at which the service is evaluated for the planned date, check the availability of the tool twice, as customs issues can cause significant delays, and personally plan (or follow it very closely) the shipping logistics since prices can vary depending on availability, demand, and market conditions. In addition, other costs associated with the installation, operation, and maintenance of the equipment must be considered.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Josue Gonzalez Tandy

Wellsite Geologist | 21 years experience oil and gas | Skilled in Petrel, log analysis and sedimentology |
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As always in my experience, a Smart backup must be available on location or at the nearest base to resolve the malfunction or failure to send a signal in a few hours of operation to avoid the risk of canceling the data collection.

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How can you optimize well logging data sampling density for minimum uncertainty?

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3

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5

1 Data quality

2 Data resolution

3 Data redundancy

4 Data cost

5 Here’s what else to consider

Drilling Engineering

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How can you optimize well logging data sampling density for minimum uncertainty?

1

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1 Data quality

2 Data resolution

3 Data redundancy

4 Data cost

5 Here’s what else to consider

Drilling Engineering

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