Table:
Client
Years of Operation
Area of Operation
Country
Services

Agoco
1991-current
Sarir field
Libya
Drilling, workover

Lasmo
1993-94
Wadi Borjuj
Libya
Drilling, workover

Waha
1994
El Zahra
Libya
Drilling, workover

IPC-Dublin
1997-97
Kilwa
Tanzania
Drilling

OMV
1997
Field 103
Libya
Drilling, workover

Fina
1997
El Hamada
Libya
Drilling, workover

Marathon
1998
Manzala field
Egypt
Drilling

Khalda/Repsol
1998-99
West Desert
Egypt
Drilling

Total
1999-current
El Mabrouk
Libya
Drilling

Agiba-Agip
1999
West Desert
Egypt
Drilling

IPLL
1999-current
El Naka field
Libya
Drilling

SOC
2000-current
SOC fields
Libya
Drilling

Veba
2000
Different fields
Libya
Drilling, workover

Perenco Oil Co.
2000-01
EchiraX Concession
Gabon
Drilling

Zueitina
2001-current
Field 103
Libya
Drilling, workover

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
the 11th row and the 4th column
the 14th row and the 4th column
the 8th row and the 2nd column
the 6th row and the 2nd column
the 7th row and the 3rd column
the 5th row and the 2nd column
the 3rd row and the 1st column
the 2nd row and the 4th column

Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The target cell values are as follows:
{"row_id":"11", "column_id":"4", "cell_value":"Egypt"}
{"row_id":"14", "column_id":"4", "cell_value":"Libya"}
{"row_id":"8", "column_id":"2", "cell_value":"1998"}
{"row_id":"6", "column_id":"2", "cell_value":"1997"}
{"row_id":"7", "column_id":"3", "cell_value":"El Hamada"}
{"row_id":"5", "column_id":"2", "cell_value":"1997-97"}
{"row_id":"3", "column_id":"1", "cell_value":"Lasmo"}
{"row_id":"2", "column_id":"4", "cell_value":"Libya"}