06/21/23

Abnormal-Loss-Gain Intro

In this post, we will cover one approach to differentiating between rotary drilling and slide drilling and also briefly touch on W2W, S2S, W2S, S2W and TS2S – metrics that are usually tracked to reduce invisible lost time (ILT). In general, one of the more difficult rig states to distinguish between are rotary drilling and…

06/14/23

Rotary Drilling vs. Slide Drilling

In this post, we will cover one approach to differentiating between rotary drilling and slide drilling and also briefly touch on W2W, S2S, W2S, S2W and TS2S – metrics that are usually tracked to reduce invisible lost time (ILT). In general, one of the more difficult rig states to distinguish between are rotary drilling and…

06/07/23

Real-Time Rig State Detection

In this week’s post, we will give you three hints on how to improve your own rig state engine. For starters, some background information follows. Sentinel RT has a real-time rig state detection model in it. Real-time in the sense that it only uses past data – “i.e., data until that time instant” – to…

05/31/23

Hole Cleaning Belief: Field Deployment

How can the hole cleaning belief be used in the field? We will start by saying that a properly developed well program takes into consideration adequate hole cleaning. If the rig crew follow the well program, and well has no surprise in store, the hole cleaning belief will not be something to be concerned about…

05/24/23

Hole Cleaning Belief: Tracking Causes

We introduced the concept of a Bayesian belief network for hole cleaning a few weeks back. When the hole cleaning belief goes below a certain threshold, it is a reminder that some action might need to be taken or care exercised as we restart drilling. To that end, one example user interface that was deployed…

05/17/23

Tight Spot Identification

Continuing from where we left off last week, tracking frequent tight spots is an important aspect of monitoring hole cleaning issues. So, how can we detect tight spots in data? Here, a real-time torque and drag model (a soft string model is often sufficient) can be quite useful. As shown in Slide 1, when the…

05/10/23

Hole Cleaning Monitoring

When we drill fast (aiming for the best ROP possible), we also have to keep up with better hole cleaning actions. Otherwise, the time gained by faster drilling may very well be lost through subsequent potential stuck pipe events, loss in production, etc. While everyone understand that hole cleaning is important, automated hole condition monitoring…

05/03/23

ROP Optimization

Slide # 1 tells you why ROP Optimization is like boxing, ice hockey, football etc. It is a collision sport. That is, if you really want to make improvements, you must keep pushing and try new things to outperform the opponent – in this case, the formation. But first, you need a plan. You do…

04/26/23

Whirl Detection

Whirl as you know can be extremely difficult to detect (unlike stick slip, bit bounce, etc.) from surface data. Some say that it cannot really be detected using surface data. So, what is the trick to this model that we have posted here? The trick is that we infer (not detect) a whirl (more accurately…

04/19/23

Bit Bounce Detection

Bit bounce is generally regarded as not a problem issue when drilling with PDC bits. It is of course well known that they are an issue for roller cone bits especially when drilling hard formations, due to the possibility of forming a three lobed pattern on the rock being drilled. With PDC bits, bit bounce is…