using jquery to link dropdown to anchor text

 use:

window.location.hash="someAnchor";

to jump to the anchor <a id="someAnchor" />

from : https://stackoverflow.com/questions/11147258/using-jquery-to-link-dropdown-to-anchor-text

Terminology Explained: Percentile - P10, P50 and P90

 

In today’s Terminology Explained: P10, P50 and P90.

When working with Monte Carlo simulations, some parameters that show up quite a lot are the P10, P50 and P90.

What are these parameters? Why are they so important?

The large amount of data produced by statistical methods sometimes make it difficult to effectively use its results in the decision-making process. As we mentioned in our post about the Monte Carlo method, this methodology is based on “simulating” potential scenarios. An example of its use in the oil and gas industry is the estimation of potential lifecycle (i.e. a feasible representation of the life of the asset) to predict asset performance. Sometimes, when running models with a large variation, analysts will engage simulations that go beyond 1000 lifecycles. This number multiplied by the specified period required to simulate the asset performance (i.e. platform useful life = 10-20 years) means that we are effectively tracking tens of thousands of years of simulation.

The P10, P50 and P90 are useful parameters to understand how the numbers are distributed in a sample. Let’s try to explain that using an example.

Consider the following sample (list of observations). They could represent anything – oranges, bananas, production efficiency  etc.:

1. 95
2. 95
3. 96
4. 95
5. 97
6. 93
7. 94
8. 95
9. 96
10. 94

There are several options to display this data. You could decide to group the observations within a certain range and create a frequency table (i.e. how frequently an observation appears in the sample). This is calculated by counting the observations with a specific value and dividing by the total number of observations (e.g. 93 appears one time in a sample which has ten observations so its frequency is 10%):

Data	Number	Frequency
93	1	10%
94	2	20%
95	4	40%
96	2	20%
97	1	10%

The frequency can also be used to create the famous “bell” curve:

Normal distribution i.e. Bell curve

With this distribution, there is no need to have access to all the data points in the sample to start the inference work. We can tell, by looking at the graph, that most observations are around 95.

What is Cumulative Frequency and probability of Exceedance and Non-Exceedance?

Another option to display this distribution is using a “Cumulative Frequency” graph. This table is calculated by adding each frequency from a frequency distribution table to the sum of its predecessors.
One will notice that you can start from either the lower observation values to higher observation values or the opposite. So, we must introduce two new concepts:

• Probability of exceedance: If you start from the left (i.e. lower observation values) of the bell curve to the right (i.e. higher observation values), you are building-up a probability of exceedance curve.
• Probability non-exceedance: If you start from the right (i.e. higher observation values) of the bell curve to the left (i.e. lower observation values), you are building-up a probability of non-exceedance curve.

So, considering our sample, if we are preparing a probability of exceedance graph, we know that 97 appears 10% of the time and 96 appears 20% of the time, so for a Cumulative Frequency distribution, we will have 96 associated to 30%. It means that 30% of the observations will exceed the value of 96.

Data	Number	Frequency	Probability of Exceedance
93	1	10%	100%
94	2	20%	90%
95	4	40%	70%
96	2	20%	30%
97	1	10%	10%

Probability of Exceedance

Again, this graph adds up the frequency of occurrence as the value of the observation decreases i.e. 30% of our observations will be equal exceed the value of 96. This is what is called the probability of exceedance.

As mentioned before, another option is taking the opposite view – adding frequency of observations that will not exceed a certain value of observation.

So, considering our sample, if we are preparing a probability of non-exceedance graph, we know that 93 appears 10% of the time and 94 appears 20% of the time, so for a Cumulative Frequency distribution, we will have 94 associated to 30%. It means that 30% of the observations will be equal or not exceed the value of 94.

Probability of Non-Exceedance

Data	Number	Frequency	Probability of Non-Exceedance
93	1	10%	10%
94	2	20%	30%
95	4	40%	70%
96	2	20%	90%
97	1	10%	100%

You should also note that, for the same distribution, the P10 for the probability of exceedance is exactly the same as the P90 of the probability of non-exceedance. Another useful notion refers to the first and last value of these distributions. The first value for the Probability of exceedance and the last value for the Probability of Non-exceedance will always be equal to the total for all observations, since all frequencies will already have been added to the previous total. Again, this distribution can be extremely useful when dealing with large samples.

What about P10, P50 and P90?

Finally, in the P10, P50 and P90, the “P” stands for Percentile. The calculate value will depend on the type of distribution you have chosen to create. For example, if we decide to go for a probability of exceedance curve, when we state that a distribution has a P10 of X, we are saying “in this distribution, 10% of the observations will exceed the value of X”.

So, in our sample, P10 would be 96 – 10% of our observation will exceed the value of 96. And P90 will be 94 – 90% of our observation will exceed the value of 94.

Note that it does not mean that the estimate has a 90% chance of occurring – that is a very different concept. P50 is more likely to occur because it is closer to the mean. For this sample of observations, our P50 would be 95 which is exactly the mean (i.e. 95). There is a reason for this which is explained later in this article.

What does that mean for us working in the oil and gas sector?

Let’s try to give an example relating to the oil and gas industry.

We can never be sure exactly (this is an important word which is the core reason of why we use probabilistic approach) how much crude oil is available for production in the reserves. However, we can have a good estimate (another important word). Geologists and Reservoir Engineers working for the oil and gas industry have developed numerous methods and tools to calculate the potential production and get estimates of production rates from oil and gas reservoirs to obtain a high economic recovery.

The Securities and Exchange Commission (SEC) define the reserves and resources estimates in terms of P90/P50/P10 ranges as:

“The range of uncertainty of the recoverable and/or potentially recoverable volumes may be represented by either deterministic scenarios or by a probability distribution (see Deterministic and Probabilistic Methods, section 4.2).

When the range of uncertainty is represented by a probability distribution, a low, best, and high estimate shall be provided such that:

• There should be at least a 90% probability (P90) that the quantities actually recovered will equal or exceed the low estimate.
• There should be at least a 50% probability (P50) that the quantities actually recovered will equal or exceed the best estimate.
• There should be at least a 10% probability (P10) that the quantities actually recovered will equal or exceed the high estimate.

When using the deterministic scenario method, typically there should also be low, best, and high estimates, where such estimates are based on qualitative assessments of relative uncertainty using consistent interpretation guidelines. Under the deterministic incremental (risk-based) approach, quantities at each level of uncertainty are estimated discretely and separately (see Category Definitions and Guidelines, section 2.2.2).”

The text gives us indication of what curve we should be using – actually recovered will equal or exceed – it means we should be using the probability of exceedance curve.

Translating all these terms, the amount thought to be in the reserves is generally estimated as three figures:

• Proved (P90): The lowest figure. It means that 90% of the calculated estimates will be equal or exceed P90 estimate.
• Median (P50): This is the median.
• Possible (P10): The highest figure, it means that 10% of the calculated estimates will be equal or exceed P10 estimate.

For example, if a geologists’ calculation estimates that there is a 90% chance that an oil field contains 50 million barrels and another estimate says there is a 10% chance of producing another 20 million barrels in addition to the 50 million barrels. So, we would refer to:

• P10 as the highest figure – it is possible that we can produce up to 70 million barrels.
• P90, the lowest figure – is it proved that we can produce up to 50 million barres.

Remember that the production profile is extremely important for Maros as it is the reference point for the entire analysis, as described here.

What is the best estimate?

There is extensive discussion on what is the best estimate – mean, P50, P90 and P10?

A lot of people would insist that taking the mean is better.

This argument says that the mean will incorporate both the higher and the lower observations which will smooth the differences when added together. Comparing to the P10, which could potentially give estimates that are over-optimistic, and the P90, a conservative estimate which could potentially leave too much oil, both providing confusing future trends.

The next step would be discussing P50 and mean – this is a hard one.

It is a common misunderstanding that the P50 is a synonym of mean. This will be true is the probability distribution function for the observations were symmetrical. In this case, the mode, mean and P50 would all be the same. In Maros and Taro, we call the P50 by an alternative name to avoid confusion: Median. For distributions where the values tend to be skewed, the mode, P50, and the mean begin to diverge.

So, what’s the best? The argument for the mean works well for distributions that are symmetrical but if the distribution has a degree of skewness it might be better to reconsider and perhaps look at the P50.

from : https://blogs.dnvgl.com/software/2016/12/p10-p50-and-p90/

Missing write access in mac to /usr/local/lib/node_modules

Run these commands in a terminal window:

sudo chown -R $USER ~/.npm
sudo chown -R $USER /usr/lib/node_modules
sudo chown -R $USER /usr/local/lib/node_modules

from : https://stackoverflow.com/questions/54802330/missing-write-access-in-mac-to-usr-local-lib-node-modules

JSPaint 經典「小畫家」繪圖模擬器，沒裝軟體也能畫！

• 網站名稱：JSPaint
• 網站網址：http://jspaint.ml

from : https://briian.com/49549/

SSH Tunnel 使用方式

這邊主要會是用 Linux 原生指令 ssh 去完成 SSH Tunnel
在這之前我們先回想一下 ssh 連線的方式！

當已經有一台 server 上面跑著一個網頁的服務
而你可以透過以下指令 ssh 連線到那一台 server 上
ssh root@127.0.0.1
ssh 連線上去之後，上面有跑一個 Nginx 的服務在 80 port
這時候在 server 上執行 curl localhost 會發現有成功回傳 Nginx 的 Hello 頁面

此時如果你想要在自己的電腦上就能讀取這個網頁或是資料庫該怎麼辦?
這邊我們就要介紹 -L 這個 option 可以幫你達成這個目標！
Template: ssh -L [local_port]:localhost:[remote_port] root@127.0.0.1

所以如果我要把 server 上的 80 port 網頁服務導入到本地端的 8080 port 該怎麼做呢?
可以使用以下這行指令
ssh -L 8080:localhost:80 root@127.0.0.1
然後在瀏覽器打開 http://localhost:8080 即可看到 server 上面的網頁！

接著又有另一種情境出現了
就是在 server 上要讀取 local port 的服務的時候該怎麼辦呢?
這裡就可以使用另一種相反的方式，也就是透過 -R 去達成
-R 簡單來說就是反過來，你可以把本地機器上的服務 port 導入到 server 讓他連線！
Template: ssh -R [remote_port]:localhsot:[local_port] root@127.0.0.1

舉例來說，在本地端起了一個 8080 port 的服務
如果要在 server 上 6666 port 讀取的話可以透過以下方式取得！
ssh -R 6666:localhost:8080 root@127.0.0.1

後記

最近還蠻常會使用到這個方式去連線，於是在這邊特別把它記錄下來
然而這種方式只是圖個方便，需要的時候做個 forwarding 而已

from : https://yu-jack.github.io/2019/01/08/ssh-tunnel/

Can't modify files in mac

sudo chown -R `whoami` folder_path

Chrome extension

谷歌访问助手(无需搭建 VPN，只要安装此插件，就能使用 Google 搜索、Gmail、Chrome网上应用商店等。该插件支持免费永久使用)、IE Tab(在 Chrome 浏览器中使用 IE 内核)、Adblock Plus (广告拦截，支持自定义规则，视频中，我添加了自定义规则，只过滤拦截百度广告，放开谷歌广告)、crxMouse Chrome(鼠标手势)、Chrome Better History(查看浏览器历史记录，支持跳转时间日期)、Toby for Chrome(效率提升工具，管理标签tab)、SimpleExtManager(管理拓展插件，支持开启、关闭、卸载)、图片助手(ImageAssistant 批量图片下载) 、达达划词翻译。

Good Bash Script Template

As title

from : https://github.com/thcipriani/bashtemplate

IdeaBoard

Brainstorm, collaboration, retro online tools

from : https://ideaboardz.com/

MobaXterm

Enhanced terminal for Windows with X11 server, tabbed SSH client, network tools and much more

from : https://mobaxterm.mobatek.net/